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	<id>https://e.math.cornell.edu/wiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Rmh325</id>
	<title>mathpub - User contributions [en]</title>
	<link rel="self" type="application/atom+xml" href="https://e.math.cornell.edu/wiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Rmh325"/>
	<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php/Special:Contributions/Rmh325"/>
	<updated>2026-04-28T12:12:01Z</updated>
	<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=341</id>
		<title>MachineList</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=341"/>
		<updated>2023-06-09T17:55:40Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== Math Department Linux Machines ==&lt;br /&gt;
This is a list of department machines that you may use remotely.&lt;br /&gt;
All of these machines have the standard set of packages.&lt;br /&gt;
This list is not complete and it is changing constantly, so check back from time to time.&lt;br /&gt;
&lt;br /&gt;
You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
The easiest way to connect to these machines is through the [[Math Portal]].&lt;br /&gt;
&lt;br /&gt;
'''Offsite Cloud Machines'''&lt;br /&gt;
&lt;br /&gt;
In addition to the machines below, it's now possible to launch a fully-configured Math machine, with all software, licenses, and access to your files, at cloud providers such as Cornell Center for Advanced Computing, or Amazon AWS. These machines appear on the Math network just like other Math machines and are accessed in the same way. These cloud machines can be very large and fast, or include top of the line GPUs. The cloud machines are pay-as-you-go, rounded up to the next hour. For always-on computers like the ones at the Math department, these cloud machines would be very expensive. However, for fixed-duration use, they can be a fantastic bargain. Eventually there will be a self-service page for this, but for now, if you want more information about using Cloud computing resources, email mathsystems@cornell.edu.&lt;br /&gt;
&lt;br /&gt;
'''Dedicated Computation Machines'''&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net &lt;br /&gt;
|- &lt;br /&gt;
|ramsey || AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|fibonacci||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|boole||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
&lt;br /&gt;
|squid1|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Ti || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|squid2|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Super || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|kraken|| Quad Opteron || 64/64 || 512GB || N/A|| 1Gb&lt;br /&gt;
|- &lt;br /&gt;
|heaviside|| Xeon  E5-2640 || 12/24 || 256GB || N/A || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|hopper||Xeon  E5-2640 || 16/32 ||256GB || N/A || 10Gb&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Virtual Machines'''&lt;br /&gt;
&lt;br /&gt;
These are virtual machines made available with extra resources from the department servers.&amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: These machines are available but their memory and cpu count are subject to change.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||vCores ||RAM  ||GPU ||Net&lt;br /&gt;
|- &lt;br /&gt;
|conway || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|- &lt;br /&gt;
|dynkin || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Private Machines'''&lt;br /&gt;
&lt;br /&gt;
These machines are the property of faculty members and may only be used with their permission.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net ||Owner&lt;br /&gt;
|- &lt;br /&gt;
|leo || Xeon E5-2698 || 40/80 || 256GB || N/A || 10Gb || A. Townsend&lt;br /&gt;
|- &lt;br /&gt;
|wooster ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 1Gb || D. Barbasch&lt;br /&gt;
|- &lt;br /&gt;
|zeno ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb || A. Vladimirsky&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=340</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=340"/>
		<updated>2023-06-09T17:21:23Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Here is a link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
You can use the portal to connect to any of the machines on the [[MachineList]].&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. JupyterHub also has full support of GPU devices on the computers that have them. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here is another link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=339</id>
		<title>MachineList</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=339"/>
		<updated>2023-03-28T13:48:10Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== Math Department Linux Machines ==&lt;br /&gt;
This is a list of department machines that you may use remotely.&lt;br /&gt;
All of these machines have the standard set of packages.&lt;br /&gt;
This list is not complete and it is changing constantly, so check back from time to time.&lt;br /&gt;
&lt;br /&gt;
You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
The easiest way to connect to these machines is through the [[Math Portal]].&lt;br /&gt;
&lt;br /&gt;
'''Offsite Cloud Machines'''&lt;br /&gt;
&lt;br /&gt;
In addition to the machines below, it's now possible to launch a fully-configured Math machine, with all software, licenses, and access to your files, at cloud providers such as Cornell Center for Advanced Computing, or Amazon AWS. These machines appear on the Math network just like other Math machines and are accessed in the same way. These cloud machines can be very large and fast, or include top of the line GPUs. The cloud machines are pay-as-you-go, rounded up to the next hour. For always-on computers like the ones at the Math department, these cloud machines would be very expensive. However, for fixed-duration use, they can be a fantastic bargain. Eventually there will be a self-service page for this, but for now, if you want more information about using Cloud computing resources, email mathsystems@cornell.edu.&lt;br /&gt;
&lt;br /&gt;
'''Dedicated Computation Machines'''&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net &lt;br /&gt;
|- &lt;br /&gt;
|ramsey || AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|fibonacci||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|boole||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
&lt;br /&gt;
|squid1|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Ti || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|squid2|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Super || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|kraken|| Quad Opteron || 64/64 || 512GB || N/A|| 1Gb&lt;br /&gt;
|- &lt;br /&gt;
|heaviside|| Xeon  E5-2640 || 12/24 || 256GB || N/A || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|hopper||Xeon  E5-2640 || 16/32 ||256GB || N/A || 10Gb&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Virtual Machines'''&lt;br /&gt;
&lt;br /&gt;
These are virtual machines made available with extra resources from the department servers.&amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: These machines are available but their memory and cpu count are subject to change.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||vCores ||RAM  ||GPU ||Net&lt;br /&gt;
|- &lt;br /&gt;
|conway || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|- &lt;br /&gt;
|dynkin || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Shared Workstations'''&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU &lt;br /&gt;
|- &lt;br /&gt;
|aio01 || i5-6600 CPU @ 3.30GHz || 4/4 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|cardano || i7-7700 CPU @ 3.60GHz || 4/8 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|feynman || i7-7700 CPU @ 3.60GHz ||4/8 || 16GB || N/A&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Private Machines'''&lt;br /&gt;
&lt;br /&gt;
These machines are the property of faculty members and may only be used with their permission.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net ||Owner&lt;br /&gt;
|- &lt;br /&gt;
|leo || Xeon E5-2698 || 40/80 || 256GB || N/A || 10Gb || A. Townsend&lt;br /&gt;
|- &lt;br /&gt;
|wooster ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 1Gb || D. Barbasch&lt;br /&gt;
|- &lt;br /&gt;
|zeno ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb || A. Vladimirsky&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=338</id>
		<title>MachineList</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=338"/>
		<updated>2023-03-28T13:47:56Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: /* Math Department Linux Machines */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== Math Department Linux Machines ==&lt;br /&gt;
This is a list of department machines that you may use remotely.&lt;br /&gt;
All of these machines have the standard set of packages.&lt;br /&gt;
This list is not complete and it is changing constantly, so check back from time to time.&lt;br /&gt;
&lt;br /&gt;
You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
The easiest way to connect to these machines is through the [[Math Portal]].&lt;br /&gt;
&lt;br /&gt;
'''Offsite Cloud Machines'''&lt;br /&gt;
In addition to the machines below, it's now possible to launch a fully-configured Math machine, with all software, licenses, and access to your files, at cloud providers such as Cornell Center for Advanced Computing, or Amazon AWS. These machines appear on the Math network just like other Math machines and are accessed in the same way. These cloud machines can be very large and fast, or include top of the line GPUs. The cloud machines are pay-as-you-go, rounded up to the next hour. For always-on computers like the ones at the Math department, these cloud machines would be very expensive. However, for fixed-duration use, they can be a fantastic bargain. Eventually there will be a self-service page for this, but for now, if you want more information about using Cloud computing resources, email mathsystems@cornell.edu.&lt;br /&gt;
&lt;br /&gt;
'''Dedicated Computation Machines'''&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net &lt;br /&gt;
|- &lt;br /&gt;
|ramsey || AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|fibonacci||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|boole||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
&lt;br /&gt;
|squid1|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Ti || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|squid2|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Super || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|kraken|| Quad Opteron || 64/64 || 512GB || N/A|| 1Gb&lt;br /&gt;
|- &lt;br /&gt;
|heaviside|| Xeon  E5-2640 || 12/24 || 256GB || N/A || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|hopper||Xeon  E5-2640 || 16/32 ||256GB || N/A || 10Gb&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Virtual Machines'''&lt;br /&gt;
&lt;br /&gt;
These are virtual machines made available with extra resources from the department servers.&amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: These machines are available but their memory and cpu count are subject to change.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||vCores ||RAM  ||GPU ||Net&lt;br /&gt;
|- &lt;br /&gt;
|conway || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|- &lt;br /&gt;
|dynkin || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Shared Workstations'''&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU &lt;br /&gt;
|- &lt;br /&gt;
|aio01 || i5-6600 CPU @ 3.30GHz || 4/4 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|cardano || i7-7700 CPU @ 3.60GHz || 4/8 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|feynman || i7-7700 CPU @ 3.60GHz ||4/8 || 16GB || N/A&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Private Machines'''&lt;br /&gt;
&lt;br /&gt;
These machines are the property of faculty members and may only be used with their permission.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net ||Owner&lt;br /&gt;
|- &lt;br /&gt;
|leo || Xeon E5-2698 || 40/80 || 256GB || N/A || 10Gb || A. Townsend&lt;br /&gt;
|- &lt;br /&gt;
|wooster ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 1Gb || D. Barbasch&lt;br /&gt;
|- &lt;br /&gt;
|zeno ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb || A. Vladimirsky&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=337</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=337"/>
		<updated>2023-03-28T13:39:19Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Here is a link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
You can use the portal to connect to any of the machines on the [[MachineList]].&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here is another link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=336</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=336"/>
		<updated>2023-03-28T13:38:38Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Here is a link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
You can use the portal to connect to any of the machines on the [[Machine List|MachineList]].&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here is another link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=335</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=335"/>
		<updated>2023-03-28T13:38:14Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Here is a link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
You can use the portal to connect to any of the machines on the [[Machine List]].&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here is another link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=334</id>
		<title>MachineList</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=334"/>
		<updated>2023-03-28T13:37:08Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== Math Department Linux Machines ==&lt;br /&gt;
This is a list of department machines that you may use remotely.&lt;br /&gt;
All of these machines have the standard set of packages.&lt;br /&gt;
This list is not complete and it is changing constantly, so check back from time to time.&lt;br /&gt;
&lt;br /&gt;
You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
The easiest way to connect to these machines is through the [[Math Portal]].&lt;br /&gt;
&lt;br /&gt;
'''Dedicated Computation Machines'''&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net &lt;br /&gt;
|- &lt;br /&gt;
|ramsey || AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|fibonacci||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|boole||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
&lt;br /&gt;
|squid1|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Ti || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|squid2|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Super || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|kraken|| Quad Opteron || 64/64 || 512GB || N/A|| 1Gb&lt;br /&gt;
|- &lt;br /&gt;
|heaviside|| Xeon  E5-2640 || 12/24 || 256GB || N/A || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|hopper||Xeon  E5-2640 || 16/32 ||256GB || N/A || 10Gb&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Virtual Machines'''&lt;br /&gt;
&lt;br /&gt;
These are virtual machines made available with extra resources from the department servers.&amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: These machines are available but their memory and cpu count are subject to change.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||vCores ||RAM  ||GPU ||Net&lt;br /&gt;
|- &lt;br /&gt;
|conway || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|- &lt;br /&gt;
|dynkin || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Shared Workstations'''&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU &lt;br /&gt;
|- &lt;br /&gt;
|aio01 || i5-6600 CPU @ 3.30GHz || 4/4 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|cardano || i7-7700 CPU @ 3.60GHz || 4/8 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|feynman || i7-7700 CPU @ 3.60GHz ||4/8 || 16GB || N/A&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Private Machines'''&lt;br /&gt;
&lt;br /&gt;
These machines are the property of faculty members and may only be used with their permission.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net ||Owner&lt;br /&gt;
|- &lt;br /&gt;
|leo || Xeon E5-2698 || 40/80 || 256GB || N/A || 10Gb || A. Townsend&lt;br /&gt;
|- &lt;br /&gt;
|wooster ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 1Gb || D. Barbasch&lt;br /&gt;
|- &lt;br /&gt;
|zeno ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb || A. Vladimirsky&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=333</id>
		<title>MachineList</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=333"/>
		<updated>2023-03-28T13:36:55Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== Math Department Linux Machines ==&lt;br /&gt;
This is a list of department machines that you may use remotely.&lt;br /&gt;
All of these machines have the standard set of packages.&lt;br /&gt;
This list is not complete and it is changing constantly, so check back from time to time.&lt;br /&gt;
&lt;br /&gt;
You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
The easiest way to connect to these machines is through the [[Math Portal]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Dedicated Computation Machines'''&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net &lt;br /&gt;
|- &lt;br /&gt;
|ramsey || AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|fibonacci||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|boole||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
&lt;br /&gt;
|squid1|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Ti || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|squid2|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Super || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|kraken|| Quad Opteron || 64/64 || 512GB || N/A|| 1Gb&lt;br /&gt;
|- &lt;br /&gt;
|heaviside|| Xeon  E5-2640 || 12/24 || 256GB || N/A || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|hopper||Xeon  E5-2640 || 16/32 ||256GB || N/A || 10Gb&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Virtual Machines'''&lt;br /&gt;
&lt;br /&gt;
These are virtual machines made available with extra resources from the department servers.&amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: These machines are available but their memory and cpu count are subject to change.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||vCores ||RAM  ||GPU ||Net&lt;br /&gt;
|- &lt;br /&gt;
|conway || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|- &lt;br /&gt;
|dynkin || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Shared Workstations'''&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU &lt;br /&gt;
|- &lt;br /&gt;
|aio01 || i5-6600 CPU @ 3.30GHz || 4/4 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|cardano || i7-7700 CPU @ 3.60GHz || 4/8 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|feynman || i7-7700 CPU @ 3.60GHz ||4/8 || 16GB || N/A&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Private Machines'''&lt;br /&gt;
&lt;br /&gt;
These machines are the property of faculty members and may only be used with their permission.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net ||Owner&lt;br /&gt;
|- &lt;br /&gt;
|leo || Xeon E5-2698 || 40/80 || 256GB || N/A || 10Gb || A. Townsend&lt;br /&gt;
|- &lt;br /&gt;
|wooster ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 1Gb || D. Barbasch&lt;br /&gt;
|- &lt;br /&gt;
|zeno ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb || A. Vladimirsky&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=332</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=332"/>
		<updated>2023-03-22T17:08:10Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Cornell Math Department Computer Systems =&lt;br /&gt;
&lt;br /&gt;
== Try the NEW Math Portal ==&lt;br /&gt;
&lt;br /&gt;
Access all of the computer resources at the Math department through a browser, all in one place!&lt;br /&gt;
&lt;br /&gt;
You'll need a [[Math Account]] to connect to Math resources.&lt;br /&gt;
&lt;br /&gt;
Learn more about the portal on the [[Math Portal]] page.&lt;br /&gt;
&lt;br /&gt;
Connect to the Math Portal [https://portal.math.cornell.edu/ Here]&lt;br /&gt;
&lt;br /&gt;
[[How to Print]] How to print at the Math department.&lt;br /&gt;
&lt;br /&gt;
[[Computer Info]] page. All about our systems and software.&lt;br /&gt;
&lt;br /&gt;
[[Cluster Info]] page. About the math cluster and how to use it with various applications.&lt;br /&gt;
&lt;br /&gt;
All About [[Math Department Email]], which no longer exists, but is still available as an archive.&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department with the [[Cornell VPN]].&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department systems: [[How To Connect]]&lt;br /&gt;
&lt;br /&gt;
How Staff can connect to their work machines from home. [[Staff Connect]]&lt;br /&gt;
&lt;br /&gt;
Here is the [[MachineList]]&lt;br /&gt;
&lt;br /&gt;
[[Instructions]] for department equipment.&lt;br /&gt;
&lt;br /&gt;
For troubleshooting information, see the admin pages [https://admin.math.cornell.edu/mw Here]&lt;br /&gt;
&lt;br /&gt;
[[Handy Links]]&lt;br /&gt;
&lt;br /&gt;
[[Test Page]]&lt;br /&gt;
&lt;br /&gt;
Consult the [//meta.wikimedia.org/wiki/Help:Contents User's Guide] for information on using the wiki software.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=331</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=331"/>
		<updated>2023-03-22T17:07:20Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Cornell Math Department Computer Systems =&lt;br /&gt;
&lt;br /&gt;
== Try the NEW Math Portal ==&lt;br /&gt;
&lt;br /&gt;
Access all of the computer resources at the Math department through a browser, all in one place!&lt;br /&gt;
&lt;br /&gt;
You'll need a [[Math Account]] to connect to Math resources.&lt;br /&gt;
&lt;br /&gt;
Learn more about the portal on the [[Math Portal]] page.&lt;br /&gt;
&lt;br /&gt;
Connect to the Math Portal [https://portal.math.cornell.edu/ Here]&lt;br /&gt;
&lt;br /&gt;
[[How to Print]] How to print at the Math department.&lt;br /&gt;
&lt;br /&gt;
[[Computer Info]] page. All about our systems and software.&lt;br /&gt;
&lt;br /&gt;
[[Cluster Info]] page. About the math cluster and how to use it with various applications.&lt;br /&gt;
&lt;br /&gt;
All About [[Math Department Email]]&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department with the [[Cornell VPN]].&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department systems: [[How To Connect]]&lt;br /&gt;
&lt;br /&gt;
How Staff can connect to their work machines from home. [[Staff Connect]]&lt;br /&gt;
&lt;br /&gt;
Here is the [[MachineList]]&lt;br /&gt;
&lt;br /&gt;
[[Instructions]] for department equipment.&lt;br /&gt;
&lt;br /&gt;
For troubleshooting information, see the admin pages [https://admin.math.cornell.edu/mw Here]&lt;br /&gt;
&lt;br /&gt;
[[Handy Links]]&lt;br /&gt;
&lt;br /&gt;
[[Test Page]]&lt;br /&gt;
&lt;br /&gt;
Consult the [//meta.wikimedia.org/wiki/Help:Contents User's Guide] for information on using the wiki software.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=330</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=330"/>
		<updated>2023-03-22T17:06:20Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
=== Why not just use NetIDs? ===&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. &lt;br /&gt;
&lt;br /&gt;
The biggest reason is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system.&lt;br /&gt;
&lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
&lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
=== Math Account Resources ===&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt;&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
=== Getting a Math Account ===&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
=== Resource Usage ===&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under &amp;lt;code&amp;gt;/homes/{username}&amp;lt;/code&amp;gt; are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume is large and fast. You may put large amounts of data into &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt;, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume can be read at 10GB/second by the calculation machines. &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt; volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt; will be different on every machine. Just like on &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt;, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the &amp;lt;code&amp;gt;df&amp;lt;/code&amp;gt; command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
=== Connecting to your Math account ===&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added.  &lt;br /&gt;
&lt;br /&gt;
* '''Web Desktop''' lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* '''JupyterHub''' lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* '''Webdisk''' lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* '''System Status''' (graphs) lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* '''Wiki''' is a link to this wiki site. You may edit or add pages! Just click 'Log In' and your NetID should appear in the upper right.&lt;br /&gt;
* '''Account Settings''' takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* '''Print Portal''' allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer. Please only use this when physically present at Malott hall!&lt;br /&gt;
&lt;br /&gt;
These services use your Math username and password. If you're prompted for a password, that's the one to use.&lt;br /&gt;
&lt;br /&gt;
Some of these use your NetID, such as wiki, graphs, or print portal. Since you're already logged in with your NetID, you should not be prompted when you use these services.&lt;br /&gt;
&lt;br /&gt;
Account Settings will always prompt you again for a NetID login, for security reasons. &lt;br /&gt;
&lt;br /&gt;
=== Other Connections ===&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=329</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=329"/>
		<updated>2023-03-22T17:05:18Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
=== Why not just use NetIDs? ===&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. &lt;br /&gt;
&lt;br /&gt;
The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system.&lt;br /&gt;
&lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
&lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
=== Math Account Resources ===&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt;&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
=== Getting a Math Account ===&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
=== Resource Usage ===&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under &amp;lt;code&amp;gt;/homes/{username}&amp;lt;/code&amp;gt; are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume is large and fast. You may put large amounts of data into &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt;, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume can be read at 10GB/second by the calculation machines. &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt; volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt; will be different on every machine. Just like on &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt;, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the &amp;lt;code&amp;gt;df&amp;lt;/code&amp;gt; command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
=== Connecting to your Math account ===&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added.  &lt;br /&gt;
&lt;br /&gt;
* '''Web Desktop''' lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* '''JupyterHub''' lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* '''Webdisk''' lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* '''System Status''' (graphs) lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* '''Wiki''' is a link to this wiki site. You may edit or add pages! Just click 'Log In' and your NetID should appear in the upper right.&lt;br /&gt;
* '''Account Settings''' takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* '''Print Portal''' allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer. Please only use this when physically present at Malott hall!&lt;br /&gt;
&lt;br /&gt;
These services use your Math username and password. If you're prompted for a password, that's the one to use.&lt;br /&gt;
&lt;br /&gt;
Some of these use your NetID, such as wiki, graphs, or print portal. Since you're already logged in with your NetID, you should not be prompted when you use these services.&lt;br /&gt;
&lt;br /&gt;
Account Settings will always prompt you again for a NetID login, for security reasons. &lt;br /&gt;
&lt;br /&gt;
=== Other Connections ===&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=328</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=328"/>
		<updated>2023-03-22T17:05:01Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. &lt;br /&gt;
&lt;br /&gt;
The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system.&lt;br /&gt;
&lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
&lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
=== Math Account Resources ===&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt;&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
=== Getting a Math Account ===&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
=== Resource Usage ===&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under &amp;lt;code&amp;gt;/homes/{username}&amp;lt;/code&amp;gt; are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume is large and fast. You may put large amounts of data into &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt;, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume can be read at 10GB/second by the calculation machines. &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt; volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt; will be different on every machine. Just like on &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt;, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the &amp;lt;code&amp;gt;df&amp;lt;/code&amp;gt; command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
=== Connecting to your Math account ===&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added.  &lt;br /&gt;
&lt;br /&gt;
* '''Web Desktop''' lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* '''JupyterHub''' lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* '''Webdisk''' lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* '''System Status''' (graphs) lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* '''Wiki''' is a link to this wiki site. You may edit or add pages! Just click 'Log In' and your NetID should appear in the upper right.&lt;br /&gt;
* '''Account Settings''' takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* '''Print Portal''' allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer. Please only use this when physically present at Malott hall!&lt;br /&gt;
&lt;br /&gt;
These services use your Math username and password. If you're prompted for a password, that's the one to use.&lt;br /&gt;
&lt;br /&gt;
Some of these use your NetID, such as wiki, graphs, or print portal. Since you're already logged in with your NetID, you should not be prompted when you use these services.&lt;br /&gt;
&lt;br /&gt;
Account Settings will always prompt you again for a NetID login, for security reasons. &lt;br /&gt;
&lt;br /&gt;
=== Other Connections ===&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=327</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=327"/>
		<updated>2023-03-22T17:04:40Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
=== Math Account Resources ===&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt;&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
=== Getting a Math Account ===&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
=== Resource Usage ===&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under &amp;lt;code&amp;gt;/homes/{username}&amp;lt;/code&amp;gt; are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume is large and fast. You may put large amounts of data into &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt;, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume can be read at 10GB/second by the calculation machines. &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt; volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt; volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of &amp;lt;code&amp;gt;/local&amp;lt;/code&amp;gt; will be different on every machine. Just like on &amp;lt;code&amp;gt;/space&amp;lt;/code&amp;gt;, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the &amp;lt;code&amp;gt;df&amp;lt;/code&amp;gt; command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
=== Connecting to your Math account ===&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added.  &lt;br /&gt;
&lt;br /&gt;
* '''Web Desktop''' lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* '''JupyterHub''' lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* '''Webdisk''' lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* '''System Status''' (graphs) lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* '''Wiki''' is a link to this wiki site. You may edit or add pages! Just click 'Log In' and your NetID should appear in the upper right.&lt;br /&gt;
* '''Account Settings''' takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* '''Print Portal''' allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer. Please only use this when physically present at Malott hall!&lt;br /&gt;
&lt;br /&gt;
These services use your Math username and password. If you're prompted for a password, that's the one to use.&lt;br /&gt;
&lt;br /&gt;
Some of these use your NetID, such as wiki, graphs, or print portal. Since you're already logged in with your NetID, you should not be prompted when you use these services.&lt;br /&gt;
&lt;br /&gt;
Account Settings will always prompt you again for a NetID login, for security reasons. &lt;br /&gt;
&lt;br /&gt;
=== Other Connections ===&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=326</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=326"/>
		<updated>2023-03-22T16:59:49Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
=== Math Account Resources ===&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
=== Getting a Math Account ===&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
=== Resource Usage ===&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under /homes/{username} are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the /space volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The /space volume is large and fast. You may put large amounts of data into /space, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the /space volume can be read at 10GB/second by the calculation machines. /space is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the /space volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a /local volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of /local will be different on every machine. Just like on /space, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the 'df' command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
=== Connecting to your Math account ===&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added.  &lt;br /&gt;
&lt;br /&gt;
* '''Web Desktop''' lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* '''JupyterHub''' lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* '''Webdisk''' lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* '''System Status''' (graphs) lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* '''Wiki''' is a link to this wiki site. You may edit or add pages! Just click 'Log In' and your NetID should appear in the upper right.&lt;br /&gt;
* '''Account Settings''' takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* '''Print Portal''' allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer.&lt;br /&gt;
&lt;br /&gt;
These services use your Math username and password. If you're prompted for a password, that's the one to use.&lt;br /&gt;
&lt;br /&gt;
Some of these use your NetID, such as wiki, graphs, or print portal. Since you're already logged in with your NetID, you should not be prompted when you use these services.&lt;br /&gt;
&lt;br /&gt;
Account Settings will always prompt you again for a NetID login, for security reasons. &lt;br /&gt;
&lt;br /&gt;
=== Other Connections ===&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=325</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=325"/>
		<updated>2023-03-22T16:57:22Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
=== Math Account Resources ===&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
=== Getting a Math Account ===&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
=== Resource Usage ===&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under /homes/{username} are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the /space volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The /space volume is large and fast. You may put large amounts of data into /space, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the /space volume can be read at 10GB/second by the calculation machines. /space is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the /space volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a /local volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of /local will be different on every machine. Just like on /space, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the 'df' command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
=== Connecting to your Math account ===&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added.  &lt;br /&gt;
&lt;br /&gt;
* '''Web Desktop''' lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* '''JupyterHub''' lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* '''Webdisk''' lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* '''System Status''' (graphs) lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* '''Wiki''' is a link to this wiki site. You may edit or add pages! Just click 'Log In' and your NetID should appear in the upper right.&lt;br /&gt;
* '''Account Settings''' takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* '''Print Portal''' allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer.&lt;br /&gt;
&lt;br /&gt;
These services use your Math username and password. If you're prompted for a password, that's the one to use.&lt;br /&gt;
&lt;br /&gt;
Some of these use your NetID, such as wiki, graphs, or print portal. Since you're already logged in with your NetID, you should not be prompted when you use these services.&lt;br /&gt;
&lt;br /&gt;
Account Settings will always prompt you again for a NetID login, for security reasons. &lt;br /&gt;
&lt;br /&gt;
=== Other Connections ===&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=324</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=324"/>
		<updated>2023-03-22T16:55:57Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: /* Connecting to your Math account */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
==== Math Account Resources ====&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
==== Getting a Math Account ====&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
==== Resource Usage ====&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under /homes/{username} are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the /space volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The /space volume is large and fast. You may put large amounts of data into /space, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the /space volume can be read at 10GB/second by the calculation machines. /space is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the /space volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a /local volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of /local will be different on every machine. Just like on /space, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the 'df' command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
==== Connecting to your Math account ====&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added.  &lt;br /&gt;
&lt;br /&gt;
* '''Web Desktop''' lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* '''JupyterHub''' lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* '''Webdisk''' lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* '''System Status''' (graphs) lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* '''Wiki''' is a link to this wiki site. You may edit or add pages! Just click 'Log In' and your NetID should appear in the upper right.&lt;br /&gt;
* '''Account Settings''' takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* '''Print Portal''' allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer.&lt;br /&gt;
&lt;br /&gt;
These services use your Math username and password. If you're prompted for a password, that's the one to use.&lt;br /&gt;
&lt;br /&gt;
Some of these use your NetID, such as wiki, graphs, or print portal. Since you're already logged in with your NetID, you should not be prompted when you use these services.&lt;br /&gt;
&lt;br /&gt;
Account Settings will always prompt you again for a NetID login, for security reasons. &lt;br /&gt;
&lt;br /&gt;
==== Other Connections ====&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=323</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=323"/>
		<updated>2023-03-22T16:54:40Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: /* Connecting to your Math account */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
==== Math Account Resources ====&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
==== Getting a Math Account ====&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
==== Resource Usage ====&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under /homes/{username} are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the /space volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The /space volume is large and fast. You may put large amounts of data into /space, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the /space volume can be read at 10GB/second by the calculation machines. /space is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the /space volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a /local volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of /local will be different on every machine. Just like on /space, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the 'df' command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
==== Connecting to your Math account ====&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Web Desktop lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* JupyterHub lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* Webdisk lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* System Status lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* Wiki is a link to this wiki site. You may edit or add pages! Just click 'Log In' and your NetID should appear in the upper right.&lt;br /&gt;
* Account settings takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* Print Portal allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer.&lt;br /&gt;
&lt;br /&gt;
These services use your Math username and password. If you're prompted for a password, that's the one to use.&lt;br /&gt;
&lt;br /&gt;
Some of these use your NetID, such as wiki, graphs, or print portal. Since you're already logged in with your NetID, you should not be prompted when you use these services.&lt;br /&gt;
&lt;br /&gt;
Account Settings will always prompt you again for a NetID login, for security reasons. &lt;br /&gt;
&lt;br /&gt;
==== Other Connections ====&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=322</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=322"/>
		<updated>2023-03-22T16:53:51Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: R&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
==== Math Account Resources ====&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
==== Getting a Math Account ====&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
==== Resource Usage ====&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under /homes/{username} are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the /space volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The /space volume is large and fast. You may put large amounts of data into /space, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the /space volume can be read at 10GB/second by the calculation machines. /space is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the /space volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a /local volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of /local will be different on every machine. Just like on /space, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the 'df' command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
==== Connecting to your Math account ====&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added. &lt;br /&gt;
&lt;br /&gt;
These services use your Math username and password. If you're prompted for a password, that's the one to use.&lt;br /&gt;
&lt;br /&gt;
Some of these use your NetID, such as wiki, graphs, or print portal. Since you're already logged in with your NetID, you should not be prompted when you use these services.&lt;br /&gt;
&lt;br /&gt;
Account Settings will always prompt you again for a NetID login, for security reasons. &lt;br /&gt;
&lt;br /&gt;
* Web Desktop lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* JupyterHub lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* Webdisk lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* System Status lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* Wiki is a link to this wiki site. You may edit or add pages! Just click 'Log In' and your NetID should appear in the upper right.&lt;br /&gt;
* Account settings takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* Print Portal allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer.&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=321</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=321"/>
		<updated>2023-03-22T16:49:10Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
==== Math Account Resources ====&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
==== Getting a Math Account ====&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
==== Resource Usage ====&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under /homes/{username} are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the /space volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The /space volume is large and fast. You may put large amounts of data into /space, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the /space volume can be read at 10GB/second by the calculation machines. /space is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the /space volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a /local volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of /local will be different on every machine. Just like on /space, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the 'df' command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
==== Connecting to your Math account ====&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a [https://portal.math.cornell.edu/ portal] where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added. &lt;br /&gt;
&lt;br /&gt;
* Web Desktop lets you connect to a Math department Linux desktop, inside your browser, without any additional software or VPN.&lt;br /&gt;
* JupyterHub lets you log in to a Jupyter Notebook on any of the systems. You can also open a terminal and transfer files.&lt;br /&gt;
* Webdisk lets you transfer files and do some other operations. It's older and you can do all of this with JupyterHub, but some people still like it.&lt;br /&gt;
* System Status lets you see system resource usage in real-time (once a minute) so you can see which systems are busy and what's going on with your jobs.&lt;br /&gt;
* Wiki is a link to this wiki site. You may edit or add pages!&lt;br /&gt;
* Account settings takes you to the 'accounts' page, where you can reset your password, or if you're an instructor, you can invite users and manage your groups.&lt;br /&gt;
* Print Portal allows printing from any network or device, with a login. You must be in the math.dept group to use this. Upload a PDF and print it, from any phone, tablet, or computer.&lt;br /&gt;
&lt;br /&gt;
You can also connect in more traditional ways, using the Cornell VPN. You can use SSH, SFTP, and other desktop software such as X2GO or Remote Desktop Connection.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=320</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=320"/>
		<updated>2023-03-22T16:28:07Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
==== Math Account Resources ====&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
==== Getting a Math Account ====&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
==== Resource Usage ====&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under /homes/{username} are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the /space volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The /space volume is large and fast. You may put large amounts of data into /space, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the /space volume can be read at 10GB/second by the calculation machines. /space is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the /space volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a /local volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of /local will be different on every machine. Just like on /space, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the 'df' command to check the percentage of space used.&lt;br /&gt;
&lt;br /&gt;
==== Connecting to your Math account ====&lt;br /&gt;
&lt;br /&gt;
Connecting is very easy these days. Due to increased security requirements from Cornell, we have a portal where all of our in-browser resources are available behind a single Cornell NetID login. &lt;br /&gt;
&lt;br /&gt;
Once logged in, you have a menu with access to various resources. This resource menu will change as it's improved and new services are added. &lt;br /&gt;
&lt;br /&gt;
* Web Desktop&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=319</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=319"/>
		<updated>2023-03-22T16:20:58Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: /* Why not just use NetIDs? */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
The old system existed long before NetIDs, and there are many people who are still using their pre-NetID accounts for regular work. Also, there are many rules and constraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the NetID, such as for password reset, but there is nothing in a person's NetID account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
==== Math Account Resources ====&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
==== Getting a Math Account ====&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
==== Resource Usage ====&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under /homes/{username} are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the /space volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The /space volume is large and fast. You may put large amounts of data into /space, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the /space volume can be read at 10GB/second by the calculation machines. /space is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the /space volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a /local volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of /local will be different on every machine. Just like on /space, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the 'df' command to check the percentage of space used.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=318</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=318"/>
		<updated>2023-03-22T16:18:23Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
There's an F.A.Q. below, but we'll answer this one up front. The old system existed long before netids, and there are many people who are still using their pre-netid accounts for regular work. Also, there are many rules and contraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the netid, such as for password reset, but there is nothing in a person's netid account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
==== Math Account Resources ====&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
==== Getting a Math Account ====&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;br /&gt;
&lt;br /&gt;
==== Resource Usage ====&lt;br /&gt;
&lt;br /&gt;
Commercial software such as Matlab, Mathematica, and Maple have a limited number of licenses. This means there can only be a certain number of these programs running at any given time in the department (including Math machines running in the cloud). Please don't leave these programs running when they're not in use, since you'll be taking up a license. Priority for these programs is for Math faculty, grad students, and researchers. Right now there is no restriction on who can run these programs, but if people have trouble getting an available license, access may be restricted to certain groups.&lt;br /&gt;
&lt;br /&gt;
Files in your home account, under /homes/{username} are backed up every 24 hours. Please be aware of how much space you are using. A few gigabytes is fine, but large data will fill up our backups. Use the /space volume for that. We don't strictly enforce file quotas, but if there is a problem with accounts filling up, we may have to.&lt;br /&gt;
&lt;br /&gt;
The /space volume is large and fast. You may put large amounts of data into /space, all we ask is that you are a 'good neighbor' and don't abuse the privilege. Files in the /space volume can be read at 10GB/second by the calculation machines. /space is not officially backed up, but we usually make snapshots nightly, just in case. This backup is not guaranteed to happen the way it is for your home account. To use the /space volume, make a directory there whose name is the same as your username. Then you may put whatever you want inside that directory.&lt;br /&gt;
&lt;br /&gt;
Each machine has a /local volume. Some are larger than others. They are all VERY fast because they're on the local machine. Remember, the contents of /local will be different on every machine. Just like on /space, you may create a directory with the same name as your username, then put whatever you want inside there. Please be careful not to fill up the volume, use the 'df' command to check the percentage of space used.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=317</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=317"/>
		<updated>2023-03-22T16:04:04Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
There's an F.A.Q. below, but we'll answer this one up front. The old system existed long before netids, and there are many people who are still using their pre-netid accounts for regular work. Also, there are many rules and contraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the netid, such as for password reset, but there is nothing in a person's netid account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
In the future, it may be desirable to set up access to the system that uses NetIDs as the primary username. This is possible if it's found to be necessary.&lt;br /&gt;
&lt;br /&gt;
==== Math Account Resources ====&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory. &lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;br /&gt;
&lt;br /&gt;
==== Getting a Math Account ====&lt;br /&gt;
&lt;br /&gt;
Anyone at Math who is a member of the math.instructors group may send an invite to a NetID to set up a Math account, by going to https://accounts.math.cornell.edu/ and clicking the 'invite user' link.&lt;br /&gt;
If you don't have a math account and you would like one, ask a math instructor, or email mathsystems@cornell.edu to request one.&lt;br /&gt;
Anyone with a NetID may have a math account, all we ask is that they're respectful of system resources (details below).&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=316</id>
		<title>Math Account</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Account&amp;diff=316"/>
		<updated>2023-03-22T15:53:49Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: Created page with &amp;quot;== Math Account ==  In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now cent...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Math Account ==&lt;br /&gt;
&lt;br /&gt;
In the old days, academic departments had their own computer systems with their own separate user accounts. Math was no exception. Most things are now centralized, or hosted on external services, but the Math department has a few unique needs that would not be cost effective in the centralized model. Also, there are many people at Math who prefer to work in the computing environment they have always found familiar. So, we took our old traditional system, fixed it up, updated it, and modernized it. The result is a system that meets both the old needs and the new needs, and does it in a way that is orders of magnitude less expensive than equivalent services from outside the department.&lt;br /&gt;
&lt;br /&gt;
The math account is a username and password that is used to access the math department computing resources. &lt;br /&gt;
&lt;br /&gt;
==== Why not just use NetIDs? ====&lt;br /&gt;
&lt;br /&gt;
There's an F.A.Q. below, but we'll answer this one up front. The old system existed long before netids, and there are many people who are still using their pre-netid accounts for regular work. Also, there are many rules and contraints to connecting math department machines to the central Cornell system. The biggest one is performance. Some parts of the system need to make many calls across the network for some operations, and it would be much slower. Also, the central system can be changed without notice, or may go down for maintenance. So we've had better speed and reliability with our separate system. &lt;br /&gt;
The next reason is security. The Math account is controlled by the netid, such as for password reset, but there is nothing in a person's netid account that is accessible from their Math account. So, math researchers can do what they want, and this separation keeps the Cornell system safe. &lt;br /&gt;
&lt;br /&gt;
==== Math Account Resources ====&lt;br /&gt;
&lt;br /&gt;
* A consistent desktop environment across all systems, from desktop workstations, to large number crunchers, to pay-as-you-go systems at the Center for Advanced Computing, or Amazon AWS.&lt;br /&gt;
* A personal file storage area that is backed up regularly, in your home directory.&lt;br /&gt;
* Access to a very large, fast volume for larger datasets, in the /space volume.&lt;br /&gt;
* Access to very fast local storage on all of the machines, in /local&lt;br /&gt;
* Commercial software such as Matlab, Mathematica, Maple, Magma, and many others, already configured for GPU and cluster access.&lt;br /&gt;
* Major free software titles, configured and ready to use, with GPU or cluster support as applicable. These include GAP, pari/gp, Macaulay2, Sage, Python, R, Julia, and many more.&lt;br /&gt;
* Latex composition tools as well as LibreOffice, pdf conversion tools, and much more.&lt;br /&gt;
* Access to all systems using JupyterHub, to take advantage of all of these resources through a persistent jupyter notebooks interface.&lt;br /&gt;
* In-browser file transfer in and out of the system, using JupyterHub or Webdisk.&lt;br /&gt;
* In-browser access to the Linux desktop environment where all of these tools are available.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Test_Page&amp;diff=315</id>
		<title>Test Page</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Test_Page&amp;diff=315"/>
		<updated>2023-03-22T15:25:54Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: /* Handy Links */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Test Page ==&lt;br /&gt;
&lt;br /&gt;
This is a place to doodle, and test out formatting without having to temporarily mess up an actual page.&lt;br /&gt;
&lt;br /&gt;
= Handy Links =&lt;br /&gt;
&lt;br /&gt;
* [https://e.math.cornell.edu/wiki/index.php/Slurm_Quick_Start Slurm Quick Start Guide]&lt;br /&gt;
* [https://e.math.cornell.edu/wiki/index.php/Mathematica_Parallel_Computing_Configuration Mathematica Remote Kernel Configuration]&lt;br /&gt;
* [https://e.math.cornell.edu/wiki/index.php/Configuring_Ipython_for_Parallel_Computing Configuring IPython] for Parallel Computing&lt;br /&gt;
*The [https://math.cornell.edu Math Department] Homepage.&lt;br /&gt;
*The Math Department [https://math.cornell.edu/people People Pages].&lt;br /&gt;
*[https://people.as.cornell.edu/saml_login Link to edit] your People page.&lt;br /&gt;
*The [https://webwork2.math.cornell.edu/ WeBWorK] Math Homework System.&lt;br /&gt;
&lt;br /&gt;
For instructors and researchers:&lt;br /&gt;
*Log in to [http://outlook.cornell.edu Cornell Email] on the web.&lt;br /&gt;
*Reset your [https://accounts.math.cornell.edu/panel/ Math Account] Password.&lt;br /&gt;
*Instructors can [https://accounts.math.cornell.edu/panel/invite.php send an invitation] to set up a Math Account to any NetID.&lt;br /&gt;
*[https://pi.math.cornell.edu View] the old server, pi.&lt;br /&gt;
*[https://pi.math.cornell.edu/m/ADMIN/Protected Log in] to pi.&lt;br /&gt;
*The 'Syllabus File' [https://e.math.cornell.edu/apps/courseinfo/ Course Materials] database.&lt;br /&gt;
*[https://e.math.cornell.edu/webdisk Access your files] on the Math system Webdisk.&lt;br /&gt;
*Other ways to access your Math files.&lt;br /&gt;
*Use the Math Department computation machines.&lt;br /&gt;
*How to print at the Math department.&lt;br /&gt;
*Printer activity and availability.&lt;br /&gt;
*How to scan.&lt;br /&gt;
* View the status of the Math systems.&lt;br /&gt;
&lt;br /&gt;
Links for Staff:&lt;br /&gt;
*The [https://dynomite.math.cornell.edu Department Database].&lt;br /&gt;
*How to connect to the staff file share.&lt;br /&gt;
*How to connect to your work computer from home.&lt;br /&gt;
* Math Department Student [https://e.math.cornell.edu/apps/emp Employment] Site.&lt;br /&gt;
**Student Employee [https://e.math.cornell.edu/apps/emp-review/ Performance Review] Site.&lt;br /&gt;
**[https://e.math.cornell.edu/apps/emp/admin Administrative] Login&lt;br /&gt;
&lt;br /&gt;
[[Math How Tos]]&lt;br /&gt;
[[Math Account]]&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=314</id>
		<title>MachineList</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=MachineList&amp;diff=314"/>
		<updated>2023-03-08T15:37:30Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== Math Department Linux Machines ==&lt;br /&gt;
This is a list of department machines that you may use remotely.&lt;br /&gt;
All of these machines have the standard set of packages.&lt;br /&gt;
This list is not complete and it is changing constantly, so check back from time to time.&lt;br /&gt;
&lt;br /&gt;
You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Dedicated Computation Machines'''&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net &lt;br /&gt;
|- &lt;br /&gt;
|ramsey || AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|fibonacci||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
|boole||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb &lt;br /&gt;
|- &lt;br /&gt;
&lt;br /&gt;
|squid1|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Ti || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|squid2|| i7-6700k CPU @ 4.0GHz || 4/8 || 64GB || RTX 2080 Super || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|kraken|| Quad Opteron || 64/64 || 512GB || N/A|| 1Gb&lt;br /&gt;
|- &lt;br /&gt;
|heaviside|| Xeon  E5-2640 || 12/24 || 256GB || N/A || 10Gb&lt;br /&gt;
|- &lt;br /&gt;
|hopper||Xeon  E5-2640 || 16/32 ||256GB || N/A || 10Gb&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Virtual Machines'''&lt;br /&gt;
&lt;br /&gt;
These are virtual machines made available with extra resources from the department servers.&amp;lt;br&amp;gt;&lt;br /&gt;
NOTE: These machines are available but their memory and cpu count are subject to change.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||vCores ||RAM  ||GPU ||Net&lt;br /&gt;
|- &lt;br /&gt;
|conway || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|- &lt;br /&gt;
|dynkin || VM on AMD Epyc Milan || 14 || 64GB || N/A ||10Gb&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Shared Workstations'''&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU &lt;br /&gt;
|- &lt;br /&gt;
|aio01 || i5-6600 CPU @ 3.30GHz || 4/4 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|cardano || i7-7700 CPU @ 3.60GHz || 4/8 || 16GB || N/A&lt;br /&gt;
|-&lt;br /&gt;
|feynman || i7-7700 CPU @ 3.60GHz ||4/8 || 16GB || N/A&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Private Machines'''&lt;br /&gt;
&lt;br /&gt;
These machines are the property of faculty members and may only be used with their permission.&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Hostname ||Processor ||Cores / Threads ||RAM  ||GPU ||Net ||Owner&lt;br /&gt;
|- &lt;br /&gt;
|leo || Xeon E5-2698 || 40/80 || 256GB || N/A || 10Gb || A. Townsend&lt;br /&gt;
|- &lt;br /&gt;
|wooster ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 1Gb || D. Barbasch&lt;br /&gt;
|- &lt;br /&gt;
|zeno ||  AMD Ryzen 9 5950x || 16/32 || 128GB || RTX 3080Ti || 10Gb || A. Vladimirsky&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=313</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=313"/>
		<updated>2023-03-06T21:04:12Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Cornell Math Department Computer Systems =&lt;br /&gt;
&lt;br /&gt;
== Try the NEW Math Portal ==&lt;br /&gt;
&lt;br /&gt;
Access all of the computer resources at the Math department through a browser, all in one place!&lt;br /&gt;
&lt;br /&gt;
Learn more about the portal on the [[Math Portal]] page.&lt;br /&gt;
&lt;br /&gt;
Connect to the Math Portal [https://portal.math.cornell.edu/ Here]&lt;br /&gt;
&lt;br /&gt;
[[How to Print]] How to print at the Math department.&lt;br /&gt;
&lt;br /&gt;
[[Computer Info]] page. All about our systems and software.&lt;br /&gt;
&lt;br /&gt;
[[Cluster Info]] page. About the math cluster and how to use it with various applications.&lt;br /&gt;
&lt;br /&gt;
All About [[Math Department Email]]&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department with the [[Cornell VPN]].&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department systems: [[How To Connect]]&lt;br /&gt;
&lt;br /&gt;
How Staff can connect to their work machines from home. [[Staff Connect]]&lt;br /&gt;
&lt;br /&gt;
Here is the [[MachineList]]&lt;br /&gt;
&lt;br /&gt;
[[Instructions]] for department equipment.&lt;br /&gt;
&lt;br /&gt;
For troubleshooting information, see the admin pages [https://admin.math.cornell.edu/mw Here]&lt;br /&gt;
&lt;br /&gt;
[[Handy Links]]&lt;br /&gt;
&lt;br /&gt;
[[Test Page]]&lt;br /&gt;
&lt;br /&gt;
Consult the [//meta.wikimedia.org/wiki/Help:Contents User's Guide] for information on using the wiki software.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=312</id>
		<title>How To Connect</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=312"/>
		<updated>2023-03-06T21:01:06Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Connecting to the Math Systems =&lt;br /&gt;
&lt;br /&gt;
== Math Portal ==&lt;br /&gt;
NOTE! Most of what is below has been replaced by the [[Math Portal]]. Use the math portal to connect to the Math department resources without the need for any special software.&lt;br /&gt;
&lt;br /&gt;
== Connecting from outside of the Cornell Network ==&lt;br /&gt;
To connect to the Math department network from outside of Cornell, you will need to use the Cornell VPN. In particular, you will need to connect to the Math Department network through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
First, you will want to install the Cisco AnyConnect client, as provided by Cornell IT. Follow this link and get the VPN software installed on your machine. There is more information on setting up this software on [[Cornell VPN | this wiki page.]]&lt;br /&gt;
&lt;br /&gt;
Next, you will need to have the math.vpn permission permit. We usually add people automatically to this permit when they join the department, but it may have been overlooked. You can check this by going to your Math account control panel, and down near the bottom of the page it says &amp;quot;You have these Math permission permits:&amp;quot; Make sure math.vpn is listed. If it is not, contact a Math sysadmin or administrator to add you to that permit.&lt;br /&gt;
&lt;br /&gt;
Now that you've got both of those completed, when you log in to the CU-VPN software, where you normally put in your NetID, you will put in your NetID followed by @math.vpn. This looks very strange but it tells the system to connect you to the Math department network in addition to the rest of Cornell. For example, if your netid is xyz123 then in the login section enter your netid as xyz123@math.vpn &lt;br /&gt;
and enter the rest of the login details as usual. When you connect to the VPN you will be prompted for Cornell two-factor login. Once the connection is complete, your computer can connect to the Math department machines.&lt;br /&gt;
&lt;br /&gt;
== Connecting for Interactive Use ==&lt;br /&gt;
&lt;br /&gt;
=== Graphical Desktop ===&lt;br /&gt;
The [[Math Portal]] is the easiest way to connect to a remote desktop on the Math systems. Some users may prefer to use a dedicated client program if connecting through a browser is not suitable. To connect without a browser you'll need to use the [[Cornell VPN]].&lt;br /&gt;
&lt;br /&gt;
====== X2GO ======&lt;br /&gt;
If you're not using the portal way to connect is to use X2GO or Remote Desktop Connection. You can download the [https://wiki.x2go.org/doku.php/download:start X2GO client software] here. This software works on Windows, Mac, or Linux. If you are installing the Mac version, you will first want to install the latest version of [https://xquartz.org Xquartz]. For the other platforms, no additional downloads are necessary.&lt;br /&gt;
&lt;br /&gt;
====== &amp;lt;big&amp;gt;Remote Desktop Connection&amp;lt;/big&amp;gt; ======&lt;br /&gt;
The latest version of the Math software supports Remote Desktop Connection from Windows. There is also and RDC client available for Mac. To use an RDC client directly, you will need to connect through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
====== SSH Access ======&lt;br /&gt;
You can connect to the Math machines using SSH. This is a text-only method, which some people are very comfortable with. For Linux or Mac, you can ssh into a math system with the built-in SSH client that comes with your machine. Open up a terminal window, and type&lt;br /&gt;
&lt;br /&gt;
ssh mortimer@fibonacci.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
where 'mortimer' is replaced with your Math username, and 'fibonacci.math.cornell.edu' can be any one of the Math linux machines.&lt;br /&gt;
You'll be prompted for a password, and then you'll be logged in.&lt;br /&gt;
&lt;br /&gt;
For Windows machines, you will need to download the [https://www.chiark.greenend.org.uk/~sgtatham/putty/ PuTTY SSH Client]. Once you have that downloaded and installed, you can run PuTTY and enter the username and hostname and log in.&lt;br /&gt;
&lt;br /&gt;
== Transferring Files ==&lt;br /&gt;
&lt;br /&gt;
You can use the [https://portal.math.cornell.edu/ Math Portal] to transfer files from inside your browser, using JupyterHub, or the WebDisk. You can also use sftp or rsync.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=311</id>
		<title>How To Connect</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=311"/>
		<updated>2023-03-06T21:00:18Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Connecting to the Math Systems =&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
NOTE! Most of what is below has been replaced by the [[Math Portal]]. Use the math portal to connect to the Math department resources without the need for any special software.&lt;br /&gt;
&lt;br /&gt;
== Connecting from outside of the Cornell Network ==&lt;br /&gt;
To connect to the Math department network from outside of Cornell, you will need to use the Cornell VPN. In particular, you will need to connect to the Math Department network through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
First, you will want to install the Cisco AnyConnect client, as provided by Cornell IT. Follow this link and get the VPN software installed on your machine. There is more information on setting up this software on [[Cornell VPN | this wiki page.]]&lt;br /&gt;
&lt;br /&gt;
Next, you will need to have the math.vpn permission permit. We usually add people automatically to this permit when they join the department, but it may have been overlooked. You can check this by going to your Math account control panel, and down near the bottom of the page it says &amp;quot;You have these Math permission permits:&amp;quot; Make sure math.vpn is listed. If it is not, contact a Math sysadmin or administrator to add you to that permit.&lt;br /&gt;
&lt;br /&gt;
Now that you've got both of those completed, when you log in to the CU-VPN software, where you normally put in your NetID, you will put in your NetID followed by @math.vpn. This looks very strange but it tells the system to connect you to the Math department network in addition to the rest of Cornell. For example, if your netid is xyz123 then in the login section enter your netid as xyz123@math.vpn &lt;br /&gt;
and enter the rest of the login details as usual. When you connect to the VPN you will be prompted for Cornell two-factor login. Once the connection is complete, your computer can connect to the Math department machines.&lt;br /&gt;
&lt;br /&gt;
== Connecting for Interactive Use ==&lt;br /&gt;
&lt;br /&gt;
=== Graphical Desktop ===&lt;br /&gt;
The [[Math Portal]] is the easiest way to connect to a remote desktop on the Math systems. Some users may prefer to use a dedicated client program if connecting through a browser is not suitable. To connect without a browser you'll need to use the [[Cornell VPN]].&lt;br /&gt;
&lt;br /&gt;
====== X2GO ======&lt;br /&gt;
If you're not using the portal way to connect is to use X2GO or Remote Desktop Connection. You can download the [https://wiki.x2go.org/doku.php/download:start X2GO client software] here. This software works on Windows, Mac, or Linux. If you are installing the Mac version, you will first want to install the latest version of [https://xquartz.org Xquartz]. For the other platforms, no additional downloads are necessary.&lt;br /&gt;
&lt;br /&gt;
====== &amp;lt;big&amp;gt;Remote Desktop Connection&amp;lt;/big&amp;gt; ======&lt;br /&gt;
The latest version of the Math software supports Remote Desktop Connection from Windows. There is also and RDC client available for Mac. To use an RDC client directly, you will need to connect through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
====== SSH Access ======&lt;br /&gt;
You can connect to the Math machines using SSH. This is a text-only method, which some people are very comfortable with. For Linux or Mac, you can ssh into a math system with the built-in SSH client that comes with your machine. Open up a terminal window, and type&lt;br /&gt;
&lt;br /&gt;
ssh mortimer@fibonacci.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
where 'mortimer' is replaced with your Math username, and 'fibonacci.math.cornell.edu' can be any one of the Math linux machines.&lt;br /&gt;
You'll be prompted for a password, and then you'll be logged in.&lt;br /&gt;
&lt;br /&gt;
For Windows machines, you will need to download the [https://www.chiark.greenend.org.uk/~sgtatham/putty/ PuTTY SSH Client]. Once you have that downloaded and installed, you can run PuTTY and enter the username and hostname and log in.&lt;br /&gt;
&lt;br /&gt;
== Transferring Files ==&lt;br /&gt;
&lt;br /&gt;
You can use the [https://portal.math.cornell.edu/ Math Portal] to transfer files from inside your browser, using JupyterHub, or the WebDisk. You can also use sftp or rsync.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=310</id>
		<title>How To Connect</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=310"/>
		<updated>2023-03-06T20:58:02Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Connecting to the Math Systems =&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
NOTE! Most of what is below has been replaced by the [[Math Portal]]. Use the math portal to connect to the Math department resources without the need for any special software.&lt;br /&gt;
&lt;br /&gt;
== Connecting from outside of the Cornell Network ==&lt;br /&gt;
To connect to the Math department network from outside of Cornell, you will need to use the Cornell VPN. In particular, you will need to connect to the Math Department network through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
First, you will want to install the Cisco AnyConnect client, as provided by Cornell IT. Follow this link and get the VPN software installed on your machine. There is more information on setting up this software on [[Cornell VPN | this wiki page.]]&lt;br /&gt;
&lt;br /&gt;
Next, you will need to have the math.vpn permission permit. We usually add people automatically to this permit when they join the department, but it may have been overlooked. You can check this by going to your Math account control panel, and down near the bottom of the page it says &amp;quot;You have these Math permission permits:&amp;quot; Make sure math.vpn is listed. If it is not, contact a Math sysadmin or administrator to add you to that permit.&lt;br /&gt;
&lt;br /&gt;
Now that you've got both of those completed, when you log in to the CU-VPN software, where you normally put in your NetID, you will put in your NetID followed by @math.vpn. This looks very strange but it tells the system to connect you to the Math department network in addition to the rest of Cornell. For example, if your netid is xyz123 then in the login section enter your netid as xyz123@math.vpn &lt;br /&gt;
and enter the rest of the login details as usual. When you connect to the VPN you will be prompted for Cornell two-factor login. Once the connection is complete, your computer can connect to the Math department machines.&lt;br /&gt;
&lt;br /&gt;
== Connecting for Interactive Use ==&lt;br /&gt;
&lt;br /&gt;
=== Graphical Desktop ===&lt;br /&gt;
The [[Math Portal]] is the easiest way to connect to a remote desktop on the Math systems. Some users may prefer to use a dedicated client program if connecting through a browser is not suitable. To connect without a browser you'll need to use the [[Cornell VPN]].&lt;br /&gt;
&lt;br /&gt;
X2GO&lt;br /&gt;
If you're not using the portal way to connect is to use X2GO or Remote Desktop Connection. You can download the [https://wiki.x2go.org/doku.php/download:start X2GO client software] here. This software works on Windows, Mac, or Linux. If you are installing the Mac version, you will first want to install the latest version of [https://xquartz.org Xquartz]. For the other platforms, no additional downloads are necessary.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Remote Desktop Connection&lt;br /&gt;
The latest version of the Math software supports Remote Desktop Connection from Windows. There is also and RDC client available for Mac. To use an RDC client directly, you will need to connect through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
=== SSH Access ===&lt;br /&gt;
You can connect to the Math machines using SSH. This is a text-only method, which some people are very comfortable with. For Linux or Mac, you can ssh into a math system with the built-in SSH client that comes with your machine. Open up a terminal window, and type&lt;br /&gt;
&lt;br /&gt;
 ssh mortimer@fibonacci.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
where 'mortimer' is replaced with your Math username, and 'fibonacci.math.cornell.edu' can be any one of the Math linux machines.&lt;br /&gt;
You'll be prompted for a password, and then you'll be logged in.&lt;br /&gt;
&lt;br /&gt;
For Windows machines, you will need to download the [https://www.chiark.greenend.org.uk/~sgtatham/putty/ PuTTY SSH Client]. Once you have that downloaded and installed, you can run PuTTY and enter the username and hostname and log in.&lt;br /&gt;
&lt;br /&gt;
== Transferring Files ==&lt;br /&gt;
&lt;br /&gt;
You can use the [https://portal.math.cornell.edu/ Math Portal] to transfer files from inside your browser, using JupyterHub, or the WebDisk. You can also use sftp or rsync.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=309</id>
		<title>How To Connect</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=309"/>
		<updated>2023-03-06T20:54:57Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Connecting to the Math Systems =&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
NOTE! Most of what is below has been replaced by the [[Math Portal]]. Use the math portal to connect to the Math department resources without the need for any special software.&lt;br /&gt;
&lt;br /&gt;
== Connecting from outside of the Cornell Network ==&lt;br /&gt;
To connect to the Math department network from outside of Cornell, you will need to use the Cornell VPN. In particular, you will need to connect to the Math Department network through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
First, you will want to install the Cisco AnyConnect client, as provided by Cornell IT. Follow this link and get the VPN software installed on your machine. There is more information on setting up this software on [[Cornell VPN | this wiki page.]]&lt;br /&gt;
&lt;br /&gt;
Next, you will need to have the math.vpn permission permit. We usually add people automatically to this permit when they join the department, but it may have been overlooked. You can check this by going to your Math account control panel, and down near the bottom of the page it says &amp;quot;You have these Math permission permits:&amp;quot; Make sure math.vpn is listed. If it is not, contact a Math sysadmin or administrator to add you to that permit.&lt;br /&gt;
&lt;br /&gt;
Now that you've got both of those completed, when you log in to the CU-VPN software, where you normally put in your NetID, you will put in your NetID followed by @math.vpn. This looks very strange but it tells the system to connect you to the Math department network in addition to the rest of Cornell. For example, if your netid is xyz123 then in the login section enter your netid as xyz123@math.vpn &lt;br /&gt;
and enter the rest of the login details as usual. When you connect to the VPN you will be prompted for Cornell two-factor login. Once the connection is complete, your computer can connect to the Math department machines.&lt;br /&gt;
&lt;br /&gt;
== Connecting for Interactive Use ==&lt;br /&gt;
&lt;br /&gt;
=== Graphical Desktop ===&lt;br /&gt;
To use a remote desktop on the Math Linux systems, the primary way to do this is to use X2GO. You can download the [https://wiki.x2go.org/doku.php/download:start X2GO client software] here. This software works on Windows, Mac, or Linux. If you are installing the Mac version, you will first want to install the latest version of [https://xquartz.org Xquartz]. For the other platforms, no additional downloads are necessary.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Remote Desktop Connection&lt;br /&gt;
&lt;br /&gt;
The latest version of the Math software supports Remote Desktop Connection from Windows. There is also and RDC client available for Mac. To use an RDC client directly, you will need to connect through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
=== SSH Access ===&lt;br /&gt;
You can connect to the Math machines using SSH. This is a text-only method, which some people are very comfortable with. For Linux or Mac, you can ssh into a math system with the built-in SSH client that comes with your machine. Open up a terminal window, and type&lt;br /&gt;
&lt;br /&gt;
 ssh mortimer@fibonacci.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
where 'mortimer' is replaced with your Math username, and 'fibonacci.math.cornell.edu' can be any one of the Math linux machines.&lt;br /&gt;
You'll be prompted for a password, and then you'll be logged in.&lt;br /&gt;
&lt;br /&gt;
For Windows machines, you will need to download the [https://www.chiark.greenend.org.uk/~sgtatham/putty/ PuTTY SSH Client]. Once you have that downloaded and installed, you can run PuTTY and enter the username and hostname and log in.&lt;br /&gt;
&lt;br /&gt;
== Transferring Files ==&lt;br /&gt;
&lt;br /&gt;
You can use the [https://portal.math.cornell.edu/ Math Portal] to transfer files from inside your browser, using JupyterHub, or the WebDisk. You can also use sftp or rsync.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=308</id>
		<title>How To Connect</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=308"/>
		<updated>2023-03-06T20:52:53Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Connecting to the Math Systems =&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
NOTE! Most of what is below has been replaced by the [[Math Portal]]. Use the math portal to connect to the Math department resources without the need for any special software.&lt;br /&gt;
&lt;br /&gt;
== Connecting from outside of the Cornell Network ==&lt;br /&gt;
To connect to the Math department network from outside of Cornell, you will need to use the Cornell VPN. In particular, you will need to connect to the Math Department network through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
First, you will want to install the Cisco AnyConnect client, as provided by Cornell IT. Follow this link and get the VPN software installed on your machine. There is more information on setting up this software on [[Cornell VPN | this wiki page.]]&lt;br /&gt;
&lt;br /&gt;
Next, you will need to have the math.vpn permission permit. We usually add people automatically to this permit when they join the department, but it may have been overlooked. You can check this by going to your Math account control panel, and down near the bottom of the page it says &amp;quot;You have these Math permission permits:&amp;quot; Make sure math.vpn is listed. If it is not, contact a Math sysadmin or administrator to add you to that permit.&lt;br /&gt;
&lt;br /&gt;
Now that you've got both of those completed, when you log in to the CU-VPN software, where you normally put in your NetID, you will put in your NetID followed by @math.vpn. This looks very strange but it tells the system to connect you to the Math department network in addition to the rest of Cornell. For example, if your netid is xyz123 then in the login section enter your netid as xyz123@math.vpn &lt;br /&gt;
and enter the rest of the login details as usual. When you connect to the VPN you will be prompted for Cornell two-factor login. Once the connection is complete, your computer can connect to the Math department machines.&lt;br /&gt;
&lt;br /&gt;
== Connecting for Interactive Use ==&lt;br /&gt;
&lt;br /&gt;
=== Graphical Desktop ===&lt;br /&gt;
To use a remote desktop on the Math Linux systems, the primary way to do this is to use X2GO. You can download the [https://wiki.x2go.org/doku.php/download:start X2GO client software] here. This software works on Windows, Mac, or Linux. If you are installing the Mac version, you will first want to install the latest version of [https://xquartz.org Xquartz]. For the other platforms, no additional downloads are necessary.&lt;br /&gt;
&lt;br /&gt;
=== SSH Access ===&lt;br /&gt;
You can connect to the Math machines using SSH. This is a text-only method, which some people are very comfortable with. For Linux or Mac, you can ssh into a math system with the built-in SSH client that comes with your machine. Open up a terminal window, and type&lt;br /&gt;
&lt;br /&gt;
 ssh mortimer@fibonacci.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
where 'mortimer' is replaced with your Math username, and 'fibonacci.math.cornell.edu' can be any one of the Math linux machines.&lt;br /&gt;
You'll be prompted for a password, and then you'll be logged in.&lt;br /&gt;
&lt;br /&gt;
For Windows machines, you will need to download the [https://www.chiark.greenend.org.uk/~sgtatham/putty/ PuTTY SSH Client]. Once you have that downloaded and installed, you can run PuTTY and enter the username and hostname and log in.&lt;br /&gt;
&lt;br /&gt;
== Transferring Files ==&lt;br /&gt;
&lt;br /&gt;
You can use the [https://portal.math.cornell.edu/ Math Portal] to transfer files from inside your browser, using JupyterHub, or the WebDisk. You can also use sftp or rsync.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=307</id>
		<title>How To Connect</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=How_To_Connect&amp;diff=307"/>
		<updated>2023-03-06T20:51:04Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Connecting to the Math Systems =&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
NOTE! Most of what is below has been replaced by the [[Math Portal]]. Use the math portal to connect to the Math department resources without the need for any special software.&lt;br /&gt;
&lt;br /&gt;
== Connecting from outside of the Cornell Network ==&lt;br /&gt;
To connect to the Math department network from outside of Cornell, you will need to use the Cornell VPN. In particular, you will need to connect to the Math Department network through the Cornell VPN.&lt;br /&gt;
&lt;br /&gt;
First, you will want to install the Cisco AnyConnect client, as provided by Cornell IT. Follow this link and get the VPN software installed on your machine. There is more information on setting up this software on [[Cornell VPN | this wiki page.]]&lt;br /&gt;
&lt;br /&gt;
Next, you will need to have the math.vpn permission permit. We usually add people automatically to this permit when they join the department, but it may have been overlooked. You can check this by going to your Math account control panel, and down near the bottom of the page it says &amp;quot;You have these Math permission permits:&amp;quot; Make sure math.vpn is listed. If it is not, contact a Math sysadmin or administrator to add you to that permit.&lt;br /&gt;
&lt;br /&gt;
Now that you've got both of those completed, when you log in to the CU-VPN software, where you normally put in your NetID, you will put in your NetID followed by @math.vpn. This looks very strange but it tells the system to connect you to the Math department network in addition to the rest of Cornell. For example, if your netid is xyz123 then in the login section enter your netid as xyz123@math.vpn &lt;br /&gt;
and enter the rest of the login details as usual. When you connect to the VPN you will be prompted for Cornell two-factor login. Once the connection is complete, your computer can connect to the Math department machines.&lt;br /&gt;
&lt;br /&gt;
== Connecting for Interactive Use ==&lt;br /&gt;
&lt;br /&gt;
=== Graphical Desktop ===&lt;br /&gt;
To use a remote desktop on the Math Linux systems, the primary way to do this is to use X2GO. You can download the [https://wiki.x2go.org/doku.php/download:start X2GO client software] here. This software works on Windows, Mac, or Linux. If you are installing the Mac version, you will first want to install the latest version of [https://xquartz.org Xquartz]. For the other platforms, no additional downloads are necessary.&lt;br /&gt;
&lt;br /&gt;
=== SSH Access ===&lt;br /&gt;
You can connect to the Math machines using SSH. This is a text-only method, which some people are very comfortable with. For Linux or Mac, you can ssh into a math system with the built-in SSH client that comes with your machine. Open up a terminal window, and type&lt;br /&gt;
&lt;br /&gt;
 ssh mortimer@fibonacci.math.cornell.edu&lt;br /&gt;
&lt;br /&gt;
where 'mortimer' is replaced with your Math username, and 'fibonacci.math.cornell.edu' can be any one of the Math linux machines.&lt;br /&gt;
You'll be prompted for a password, and then you'll be logged in.&lt;br /&gt;
&lt;br /&gt;
For Windows machines, you will need to download the [https://www.chiark.greenend.org.uk/~sgtatham/putty/ PuTTY SSH Client]. Once you have that downloaded and installed, you can run PuTTY and enter the username and hostname and log in.&lt;br /&gt;
&lt;br /&gt;
== Transferring Files ==&lt;br /&gt;
&lt;br /&gt;
Different methods to transfer files into and out of the Math system.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=306</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=306"/>
		<updated>2023-03-06T20:49:26Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{DISPLAYTITLE:Math Wiki}}&lt;br /&gt;
&lt;br /&gt;
= Cornell Math Department Computer Systems =&lt;br /&gt;
&lt;br /&gt;
== Try the NEW Math Portal ==&lt;br /&gt;
&lt;br /&gt;
Access all of the computer resources at the Math department through a browser, all in one place!&lt;br /&gt;
&lt;br /&gt;
Learn more about the portal on the [[Math Portal]] page.&lt;br /&gt;
&lt;br /&gt;
Connect to the Math Portal [https://portal.math.cornell.edu/ Here]&lt;br /&gt;
&lt;br /&gt;
[[How to Print]] How to print at the Math department.&lt;br /&gt;
&lt;br /&gt;
[[Computer Info]] page. All about our systems and software.&lt;br /&gt;
&lt;br /&gt;
[[Cluster Info]] page. About the math cluster and how to use it with various applications.&lt;br /&gt;
&lt;br /&gt;
All About [[Math Department Email]]&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department with the [[Cornell VPN]].&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department systems: [[How To Connect]]&lt;br /&gt;
&lt;br /&gt;
How Staff can connect to their work machines from home. [[Staff Connect]]&lt;br /&gt;
&lt;br /&gt;
Here is the [[MachineList]]&lt;br /&gt;
&lt;br /&gt;
[[Instructions]] for department equipment.&lt;br /&gt;
&lt;br /&gt;
For troubleshooting information, see the admin pages [https://admin.math.cornell.edu/mw Here]&lt;br /&gt;
&lt;br /&gt;
[[Handy Links]]&lt;br /&gt;
&lt;br /&gt;
[[Test Page]]&lt;br /&gt;
&lt;br /&gt;
Consult the [//meta.wikimedia.org/wiki/Help:Contents User's Guide] for information on using the wiki software.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=305</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=305"/>
		<updated>2023-03-06T20:47:50Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Here is a link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here is another link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=304</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=304"/>
		<updated>2023-03-06T20:47:25Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Here is a link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;br /&gt;
&lt;br /&gt;
Here is another link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=303</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=303"/>
		<updated>2023-03-06T20:46:58Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Here is a link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;br /&gt;
&lt;br /&gt;
__NOTOC__&lt;br /&gt;
__NOEDITSECTION__&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=302</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=302"/>
		<updated>2023-03-06T20:46:07Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Here is a link to the [https://portal.math.cornell.edu/ Math Portal] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=301</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=301"/>
		<updated>2023-03-06T20:45:24Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Link to the [https://portal.math.cornell.edu/ Math Portal] =&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=300</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=300"/>
		<updated>2023-03-06T20:45:02Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Link to the [https://portal.math.cornell.edu/ Math Portal]&amp;lt;nowiki&amp;gt; =&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=299</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=299"/>
		<updated>2023-03-06T20:42:52Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
== JupyterHub == &lt;br /&gt;
JupyterHub gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
== Web Desktop ==&lt;br /&gt;
Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
== Web Disk ==&lt;br /&gt;
The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files. (Hint: go to preferences and choose 'hide dot files')&lt;br /&gt;
&lt;br /&gt;
== System Status ==&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
== Print Portal ==&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=298</id>
		<title>Math Portal</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Math_Portal&amp;diff=298"/>
		<updated>2023-03-06T20:41:17Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: Created page with &amp;quot;The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.  The portal is behind a single Cornell Two-fact...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The Math Portal is a web site that allows you to connect to the computer resources at the Math department through your browser.&lt;br /&gt;
&lt;br /&gt;
The portal is behind a single Cornell Two-factor log in. Once you've logged in with two-factor, you can access many resources through your browser, without the need to install special software on your computer or use a VPN.&lt;br /&gt;
&lt;br /&gt;
The Portal gives you&lt;br /&gt;
&lt;br /&gt;
JupyterHub, which gives you access to Jupyter notebooks on any of the fast machines at the department. Jupyter lets you use Python, R, SageMath, and many other things, as well as providing a terminal, file uploads and downloads, and a file editor. Your jupyter session is persistent, so you can close your browser and connect again later, and your session will still be available. You can also connect to clusters to run your code across many machines, either at Math, or elsewhere, all inside a jupyter notebook! There are numerous add-ons and settings for JupyterHub, so if there is something you'd like to see there, please request it. &lt;br /&gt;
&lt;br /&gt;
Web Desktop. Web Desktop allows you to use a Linux desktop from inside your browser. There is no need to install client software or use a VPN. You can access major software packages such as Matlab, Mathematica, Maple, and other desktop applications.&lt;br /&gt;
&lt;br /&gt;
Web Disk. The old-fashioned webdisk is still available through the browser. Jupyter Notebooks gives you most of the file access you need, but some folks still like the webdisk. It does a good job of transferring files through the browser, and is especially good for large files.&lt;br /&gt;
&lt;br /&gt;
System Status lets you view real-time data on the computers and other resources at the Math department. If you are running a large job, you can look here and find out what resources it's using, and use that information to improve performance.&lt;br /&gt;
&lt;br /&gt;
Print Portal allows you to print at Math from any device, if you already have printing permission. You can upload a PDF and print it, without changing what network you're connected to and without having to use a VPN.&lt;br /&gt;
&lt;br /&gt;
There are also links to other pages, such as this wiki for information, the department website, and the page where you can control your Math account. More items will be added as they become available or by request.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=297</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Main_Page&amp;diff=297"/>
		<updated>2023-03-06T20:27:41Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Cornell Math Department Computer Systems =&lt;br /&gt;
&lt;br /&gt;
== Try the NEW Math Portal ==&lt;br /&gt;
&lt;br /&gt;
Access all of the computer resources at the Math department through a browser, all in one place!&lt;br /&gt;
&lt;br /&gt;
Learn more about the portal on the [[Math Portal]] page.&lt;br /&gt;
&lt;br /&gt;
Connect to the Math Portal [https://portal.math.cornell.edu/ Here]&lt;br /&gt;
&lt;br /&gt;
[[How to Print]] How to print at the Math department.&lt;br /&gt;
&lt;br /&gt;
[[Computer Info]] page. All about our systems and software.&lt;br /&gt;
&lt;br /&gt;
[[Cluster Info]] page. About the math cluster and how to use it with various applications.&lt;br /&gt;
&lt;br /&gt;
All About [[Math Department Email]]&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department with the [[Cornell VPN]].&lt;br /&gt;
&lt;br /&gt;
How to connect to the Math Department systems: [[How To Connect]]&lt;br /&gt;
&lt;br /&gt;
How Staff can connect to their work machines from home. [[Staff Connect]]&lt;br /&gt;
&lt;br /&gt;
Here is the [[MachineList]]&lt;br /&gt;
&lt;br /&gt;
[[Instructions]] for department equipment.&lt;br /&gt;
&lt;br /&gt;
For troubleshooting information, see the admin pages [https://admin.math.cornell.edu/mw Here]&lt;br /&gt;
&lt;br /&gt;
[[Handy Links]]&lt;br /&gt;
&lt;br /&gt;
[[Test Page]]&lt;br /&gt;
&lt;br /&gt;
Consult the [//meta.wikimedia.org/wiki/Help:Contents User's Guide] for information on using the wiki software.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Computer_Info&amp;diff=296</id>
		<title>Computer Info</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Computer_Info&amp;diff=296"/>
		<updated>2023-01-27T18:55:02Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Computer System Information for the Math Department ==&lt;br /&gt;
&lt;br /&gt;
The Math Department has computer systems available for mathematics and other uses.&lt;br /&gt;
&lt;br /&gt;
'''Math Department Computer Account'''&lt;br /&gt;
&lt;br /&gt;
The Math Department has a separate computer account system for logging in to Linux workstations and the computation machines. This allows faster operations in many cases. It also protects users' netid accounts because Math Department accounts have no ability to access resources under NetID accounts. To set up a Math account, a Math instructor or system administrator must send an 'account invite' to a user's NetID. Once the user has been invited, they can use their NetID account and two-factor authentication to access the Math system and set up their Math account. To change the password on a Math department account, or to invite a user to set up a Math account, go to [https://accounts.math.cornell.edu Math Accounts Page]&lt;br /&gt;
&lt;br /&gt;
Math department account files are stored on a central file server, and accessed over the network by the workstations. These files are available to the computation machines over a high-speed network in the server room.&lt;br /&gt;
&lt;br /&gt;
'''Linux Workstations'''&lt;br /&gt;
&lt;br /&gt;
The Math Department has Linux workstations which can be used for general computer use, as well as for access to Math computation tools and licensed commercial Math software, and the computation resources. They also have a full array of open-source software as well as numerous LaTeX tools for creating and working with Math documents.&lt;br /&gt;
&lt;br /&gt;
'''Linux Computation Machines'''&lt;br /&gt;
&lt;br /&gt;
Here is the [[MachineList]]&lt;br /&gt;
&lt;br /&gt;
Math has several machines dedicated to computation. They can be accessed by ssh or by using remote desktop software. The environment is standardized between workstations and computation machines so that the user will have an environment that is familiar to them. The computation machines have different strengths, from GPU workstations to machines with very large memory and core counts. You can view the [[MachineList]] here. &lt;br /&gt;
&lt;br /&gt;
The computation machines are housed in a special server room which has backup power, high-capacity cooling, and a high-speed network.&lt;br /&gt;
&lt;br /&gt;
'''General-purpose GPU computing.'''&lt;br /&gt;
&lt;br /&gt;
We have several GPU workstations for shared remote use. These machines have Nvidia RTX 2080 or RTX 3080 GPU units in them. They support CUDA and other libraries, and software including Tensorflow and other tools. All of our commercial Math packages have support for GPU calculations. Matlab, Mathematica, Maple, and Magma are all supported on our GPU systems. &lt;br /&gt;
&lt;br /&gt;
'''Linux HPC cluster.'''&lt;br /&gt;
&lt;br /&gt;
[[Cluster Info]]&lt;br /&gt;
&lt;br /&gt;
'''Macintosh computers.'''&lt;br /&gt;
&lt;br /&gt;
The Macintosh computers at the Math department are managed by the Math Department, working closely with A&amp;amp;S IT to maintain compliance with Cornell policies. &lt;br /&gt;
&lt;br /&gt;
'''Windows computers.'''&lt;br /&gt;
&lt;br /&gt;
Windows machines at the Math Department are managed by the College of Arts &amp;amp; Sciences I. T. staff. A&amp;amp;S handles the configuration and maintenance of the Windows computers. Math Department staff handle physical setup and installation, printing, and specialty software for the Windows computers. Users can log in to Windows machines using their NetID and NetID password.&lt;br /&gt;
&lt;br /&gt;
[[Math How Tos]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Handy Links]]&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Computer_Info&amp;diff=295</id>
		<title>Computer Info</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Computer_Info&amp;diff=295"/>
		<updated>2023-01-27T18:36:36Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Computer System Information for the Math Department ==&lt;br /&gt;
&lt;br /&gt;
The Math Department has computer systems available for mathematics and other uses.&lt;br /&gt;
&lt;br /&gt;
'''Math Department Computer Account'''&lt;br /&gt;
&lt;br /&gt;
The Math Department has a separate computer account system for logging in to Linux workstations and the computation machines. This allows faster operations in many cases. It also protects users' netid accounts because Math Department accounts have no ability to access resources under NetID accounts. To set up a Math account, a Math instructor or system administrator must send an 'account invite' to a user's NetID. Once the user has been invited, they can use their NetID account and two-factor authentication to access the Math system and set up their Math account. To change the password on a Math department account, or to invite a user to set up a Math account, go to [https://accounts.math.cornell.edu Math Accounts Page]&lt;br /&gt;
&lt;br /&gt;
Math department account files are stored on a central file server, and accessed over the network by the workstations. These files are available to the computation machines over a high-speed network in the server room.&lt;br /&gt;
&lt;br /&gt;
'''Linux Workstations'''&lt;br /&gt;
&lt;br /&gt;
The Math Department has Linux workstations which can be used for general computer use, as well as for access to Math computation tools and licensed commercial Math software, and the computation resources. They also have a full array of open-source software as well as numerous LaTeX tools for creating and working with Math documents.&lt;br /&gt;
&lt;br /&gt;
'''Linux Computation Machines'''&lt;br /&gt;
&lt;br /&gt;
Here is the [[MachineList]]&lt;br /&gt;
&lt;br /&gt;
Math has several machines dedicated to computation. They can be accessed by ssh or by using remote desktop software. The environment is standardized between workstations and computation machines so that the user will have an environment that is familiar to them. The computation machines have different strengths, from GPU workstations to machines with very large memory and core counts. You can view the [[MachineList]] here. &lt;br /&gt;
&lt;br /&gt;
The computation machines are housed in a special server room which has backup power, high-capacity cooling, and a high-speed network.&lt;br /&gt;
&lt;br /&gt;
'''General-purpose GPU computing.'''&lt;br /&gt;
&lt;br /&gt;
We have several GPU workstations for shared remote use. These machines have Nvidia RTX 2080 or RTX 3080 GPU units in them. They support CUDA and other libraries, and software including Tensorflow and other tools. All of our commercial Math packages have support for GPU calculations. Matlab, Mathematica, Maple, and Magma are all supported on our GPU systems. &lt;br /&gt;
&lt;br /&gt;
'''Linux HPC cluster.'''&lt;br /&gt;
&lt;br /&gt;
[[Cluster Info]]&lt;br /&gt;
&lt;br /&gt;
'''Macintosh computers.'''&lt;br /&gt;
&lt;br /&gt;
The Macintosh computers at the Math department are managed by the Math Department, working closely with A&amp;amp;S IT to maintain compliance with Cornell policies. &lt;br /&gt;
&lt;br /&gt;
'''Windows computers.'''&lt;br /&gt;
&lt;br /&gt;
Windows machines at the Math Department are managed by the College of Arts &amp;amp; Sciences I. T. staff. A&amp;amp;S handles the configuration and maintenance of the Windows computers. Math Department staff handle physical setup and installation, printing, and specialty software for the Windows computers. Users can log in to Windows machines using their NetID and NetID password.&lt;br /&gt;
&lt;br /&gt;
[[Math How Tos]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Computer Facilites]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Handy Links]]&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Computer_Info&amp;diff=294</id>
		<title>Computer Info</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Computer_Info&amp;diff=294"/>
		<updated>2023-01-27T18:35:21Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Computer System Information for the Math Department ==&lt;br /&gt;
&lt;br /&gt;
The Math Department has computer systems available for mathematics and other uses.&lt;br /&gt;
&lt;br /&gt;
'''Math Department Computer Account'''&lt;br /&gt;
&lt;br /&gt;
The Math Department has a separate computer account system for logging in to Linux workstations and the computation machines. This allows faster operations in many cases. It also protects users' netid accounts because Math Department accounts have no ability to access resources under NetID accounts. To set up a Math account, a Math instructor or system administrator must send an 'account invite' to a user's NetID. Once the user has been invited, they can use their NetID account and two-factor authentication to access the Math system and set up their Math account. To change the password on a Math department account, or to invite a user to set up a Math account, go to [https://accounts.math.cornell.edu Math Accounts Page]&lt;br /&gt;
&lt;br /&gt;
Math department account files are stored on a central file server, and accessed over the network by the workstations. These files are available to the computation machines over a high-speed network in the server room.&lt;br /&gt;
&lt;br /&gt;
'''Linux Workstations'''&lt;br /&gt;
&lt;br /&gt;
The Math Department has Linux workstations which can be used for general computer use, as well as for access to Math computation tools and licensed commercial Math software, and the computation resources. They also have a full array of open-source software as well as numerous LaTeX tools for creating and working with Math documents.&lt;br /&gt;
&lt;br /&gt;
'''Linux Computation Machines'''&lt;br /&gt;
&lt;br /&gt;
Here is the [[MachineList]]&lt;br /&gt;
&lt;br /&gt;
Math has several machines dedicated to computation. They can be accessed by ssh or by using remote desktop software. The environment is standardized between workstations and computation machines so that the user will have an environment that is familiar to them. The computation machines have different strengths, from GPU workstations to machines with very large memory and core counts. You can view the [[MachineList]] here. &lt;br /&gt;
&lt;br /&gt;
The computation machines are housed in a special server room which has backup power, high-capacity cooling, and a high-speed network.&lt;br /&gt;
&lt;br /&gt;
'''General-purpose GPU computing.'''&lt;br /&gt;
&lt;br /&gt;
We have several GPU workstations for shared remote use. These machines have Nvidia RTX 2080 or RTX 3080 GPU units in them. They support CUDA and other libraries, and software including Tensorflow and other tools. All of our commercial Math packages have support for GPU calculations. Matlab, Mathematica, Maple, and Magma are all supported on our GPU systems. &lt;br /&gt;
&lt;br /&gt;
'''Linux HPC cluster.'''&lt;br /&gt;
&lt;br /&gt;
'''Macintosh computers.'''&lt;br /&gt;
&lt;br /&gt;
The Macintosh computers at the Math department are managed by the Math Department, working closely with A&amp;amp;S IT to maintain compliance with Cornell policies. &lt;br /&gt;
&lt;br /&gt;
'''Windows computers.'''&lt;br /&gt;
&lt;br /&gt;
Windows machines at the Math Department are managed by the College of Arts &amp;amp; Sciences I. T. staff. A&amp;amp;S handles the configuration and maintenance of the Windows computers. Math Department staff handle physical setup and installation, printing, and specialty software for the Windows computers. Users can log in to Windows machines using their NetID and NetID password.&lt;br /&gt;
&lt;br /&gt;
[[Math How Tos]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Computer Facilites]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Handy Links]]&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=How_to_Print&amp;diff=293</id>
		<title>How to Print</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=How_to_Print&amp;diff=293"/>
		<updated>2023-01-27T17:19:27Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: /* List of Math Printers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== How to Print at Math ==&lt;br /&gt;
&lt;br /&gt;
Printing at Math is for Staff, Faculty, Graduate Students, and Instructors. Undergraduates may not print at Math, they should use the undergraduate printing services provided in the libraries.&lt;br /&gt;
&lt;br /&gt;
== List of Math Printers ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+ Caption text&lt;br /&gt;
|-&lt;br /&gt;
! Printer !! Description !!Access !! Location&lt;br /&gt;
|-&lt;br /&gt;
| colorcopy3a || Large color copier || Faculty, Staff, Instructors, Grad Students || Third Floor Copy Room&lt;br /&gt;
|-&lt;br /&gt;
| colorcopy5 || Small color copier || Faculty || 5th floor copy room&lt;br /&gt;
|-&lt;br /&gt;
| floor4 || Small B&amp;amp;W laser printer || people on 4th floor annex || 4th floor annex&lt;br /&gt;
|-&lt;br /&gt;
| gradlab_color || Small color laser printer || Graduate Students || Grad Lab, room 103&lt;br /&gt;
|-&lt;br /&gt;
| gradlab_01 || High-capacity B&amp;amp;W laser printer || Graduate Students || Grad Lab, room 103&lt;br /&gt;
|-&lt;br /&gt;
| gradlab_02 || High-capacity B&amp;amp;W laser printer || Graduate Students || Grad Lab, room 103&lt;br /&gt;
|-&lt;br /&gt;
| mlt316 || Small color laser printer || Staff || rm 316&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Printing from your phone, tablet, or laptop. ===&lt;br /&gt;
Most people will need to print from their personal phone, tablet, or laptop. Because of all the variations in how these devices connect and how they deal with printing, we've set up a Math print portal. The Math print portal is accessible from anywhere and uses a netid login. The user then uploads a PDF file using the provided form, and then chooses their printer and print options. &lt;br /&gt;
&lt;br /&gt;
This is the best way for people to print from their devices without having to deal with issues related to networking, drivers, VPNs, and permissions.&lt;br /&gt;
&lt;br /&gt;
In order to use the Math print portal, you must be a member of the Math department. You must be a member of one of the following groups (or permits) in order to use the service. If you are a member of Math Staff, Faculty, Graduate Students, or Instructors, this should already be set up for you. If you are given an error that says you may not print, please contact a system administrator or department administrator to correct this.&lt;br /&gt;
&lt;br /&gt;
On your phone, tablet, or laptop, go to &lt;br /&gt;
&lt;br /&gt;
https://i.math.cornell.edu/print&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
You'll be prompted to log in using your NetID. Then you will be prompted to upload a PDF file. Next you'll be prompted to choose a printer, and some simple options such as duplex, etc.&lt;br /&gt;
&lt;br /&gt;
Note that this application is for convenience and as such, it doesn't support several options. It only allows US Letter printouts (8.5 x 11 inch) and not all of the printers will be listed. The printers available to you on this application are based on your role at the Math department. If you need access to a printer that you can't see in the application, please notify a system administrator.&lt;br /&gt;
&lt;br /&gt;
For large print jobs with special options, please don't use the print application. See below for 'Printing to the Copiers'.&lt;br /&gt;
&lt;br /&gt;
=== Printing from the Math Network ===&lt;br /&gt;
&lt;br /&gt;
The following options require that the computer you're printing from is connected to the Math department network, or the [[Cornell VPN]] with Math department access. If neither of those is true, use the print URL above.&lt;br /&gt;
&lt;br /&gt;
If you are using a Math department computer, whether it is a Mac, PC, or Linux workstation, you will have access to the Math department printers as ordinary printers on your machine. If you don't have access to one of the department printers that you should have access to, please notify a system administrator about the problem. Please say which computer you are using and which printer you need access to, and we'll make sure it's set up.&lt;br /&gt;
&lt;br /&gt;
=== Printing to the Copiers ===&lt;br /&gt;
&lt;br /&gt;
Generally you will want to do all printing from either the print app or from the system dialog on the computer you're using. &lt;br /&gt;
&lt;br /&gt;
For large or complex jobs, such as exams or printouts that need special handling, you can use the 'Direct Print' option on the copiers. To use 'Direct Print', you must either be on the Math network, or connected to the Math VPN.&lt;br /&gt;
&lt;br /&gt;
Go to http://colorcopy3a.math.cornell.edu/ (NOT https!) and then choose 'Direct Print'. &lt;br /&gt;
You will then upload a PDF file. You can then choose setting such as paper handling, duplex, and stapling.&lt;br /&gt;
&lt;br /&gt;
For the 5th floor copier, go to&lt;br /&gt;
https://colorcopy5.math.cornell.edu/&lt;br /&gt;
(you will receive a security warning, this is normal.)&lt;br /&gt;
Then from the top menu, choose 'Print'&lt;br /&gt;
 &lt;br /&gt;
&lt;br /&gt;
Note that most PDF files will work, but the machine can have problems with some less common PDF features. If you have trouble with your PDF file, make sure it's not using any advanced features like embedded files, macros, or javascript. &lt;br /&gt;
If you are able to use a PDF/A, that is the most reliable.&lt;br /&gt;
&lt;br /&gt;
This is the most reliable way to print to the copiers. The print dialogs on the computers don't always handle things like stapling correctly.&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
	<entry>
		<id>https://e.math.cornell.edu/wiki/index.php?title=Computer_Info&amp;diff=292</id>
		<title>Computer Info</title>
		<link rel="alternate" type="text/html" href="https://e.math.cornell.edu/wiki/index.php?title=Computer_Info&amp;diff=292"/>
		<updated>2023-01-09T20:13:39Z</updated>

		<summary type="html">&lt;p&gt;Rmh325: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Computer System Information for the Math Department ==&lt;br /&gt;
&lt;br /&gt;
The Math Department has computer systems available for mathematics and other uses.&lt;br /&gt;
&lt;br /&gt;
'''Math Department Computer Account'''&lt;br /&gt;
&lt;br /&gt;
The Math Department has a separate computer account system for logging in to Linux workstations and the computation machines. This allows faster operations in many cases. It also protects users' netid accounts because Math Department accounts have no ability to access resources under NetID accounts. To set up a Math account, a Math instructor or system administrator must send an 'account invite' to a user's NetID. Once the user has been invited, they can use their NetID account and two-factor authentication to access the Math system and set up their Math account. To change the password on a Math department account, or to invite a user to set up a Math account, go to [https://accounts.math.cornell.edu Math Accounts Page]&lt;br /&gt;
&lt;br /&gt;
Math department account files are stored on a central file server, and accessed over the network by the workstations. These files are available to the computation machines over a high-speed network in the server room.&lt;br /&gt;
&lt;br /&gt;
'''Linux Workstations'''&lt;br /&gt;
&lt;br /&gt;
The Math Department has Linux workstations which can be used for general computer use, as well as for access to Math computation tools and licensed commercial Math software, and the computation resources. They also have a full array of open-source software as well as numerous LaTeX tools for creating and working with Math documents.&lt;br /&gt;
&lt;br /&gt;
'''Linux Computation Machines'''&lt;br /&gt;
&lt;br /&gt;
Math has several machines dedicated to computation. They can be accessed by ssh or by using remote desktop software. The environment is standardized between workstations and computation machines so that the user will have an environment that is familiar to them. The computation machines have different strengths, from GPU workstations to machines with very large memory and core counts. You can view the [[MachineList]] here. &lt;br /&gt;
&lt;br /&gt;
The computation machines are housed in a special server room which has backup power, high-capacity cooling, and a high-speed network.&lt;br /&gt;
&lt;br /&gt;
'''General-purpose GPU computing.'''&lt;br /&gt;
&lt;br /&gt;
We have several GPU workstations for shared remote use. These machines have Nvidia RTX 2080 or RTX 3080 GPU units in them. They support CUDA and other libraries, and software including Tensorflow and other tools. All of our commercial Math packages have support for GPU calculations. Matlab, Mathematica, Maple, and Magma are all supported on our GPU systems. &lt;br /&gt;
&lt;br /&gt;
'''Linux HPC cluster.'''&lt;br /&gt;
&lt;br /&gt;
'''Macintosh computers.'''&lt;br /&gt;
&lt;br /&gt;
The Macintosh computers at the Math department are managed by the Math Department, working closely with A&amp;amp;S IT to maintain compliance with Cornell policies. &lt;br /&gt;
&lt;br /&gt;
'''Windows computers.'''&lt;br /&gt;
&lt;br /&gt;
Windows machines at the Math Department are managed by the College of Arts &amp;amp; Sciences I. T. staff. A&amp;amp;S handles the configuration and maintenance of the Windows computers. Math Department staff handle physical setup and installation, printing, and specialty software for the Windows computers. Users can log in to Windows machines using their NetID and NetID password.&lt;br /&gt;
&lt;br /&gt;
[[Math How Tos]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Computer Facilites]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Handy Links]]&lt;/div&gt;</summary>
		<author><name>Rmh325</name></author>
	</entry>
</feed>