Difference between revisions of "MachineList"

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You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu
 
You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu
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The easiest way to connect to these machines is through the [[Math Portal]]
   
   

Revision as of 09:36, 28 March 2023

Math Department Linux Machines

This is a list of department machines that you may use remotely. All of these machines have the standard set of packages. This list is not complete and it is changing constantly, so check back from time to time.

You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu

The easiest way to connect to these machines is through the Math Portal


Dedicated Computation Machines

Hostname Processor Cores / Threads RAM GPU Net
ramsey AMD Ryzen 9 5950x 16/32 128GB RTX 3080Ti 10Gb
fibonacci AMD Ryzen 9 5950x 16/32 128GB RTX 3080Ti 10Gb
boole AMD Ryzen 9 5950x 16/32 128GB RTX 3080Ti 10Gb
squid1 i7-6700k CPU @ 4.0GHz 4/8 64GB RTX 2080 Ti 10Gb
squid2 i7-6700k CPU @ 4.0GHz 4/8 64GB RTX 2080 Super 10Gb
kraken Quad Opteron 64/64 512GB N/A 1Gb
heaviside Xeon E5-2640 12/24 256GB N/A 10Gb
hopper Xeon E5-2640 16/32 256GB N/A 10Gb


Virtual Machines

These are virtual machines made available with extra resources from the department servers.
NOTE: These machines are available but their memory and cpu count are subject to change.

Hostname Processor vCores RAM GPU Net
conway VM on AMD Epyc Milan 14 64GB N/A 10Gb
dynkin VM on AMD Epyc Milan 14 64GB N/A 10Gb


Shared Workstations

Hostname Processor Cores / Threads RAM GPU
aio01 i5-6600 CPU @ 3.30GHz 4/4 16GB N/A
cardano i7-7700 CPU @ 3.60GHz 4/8 16GB N/A
feynman i7-7700 CPU @ 3.60GHz 4/8 16GB N/A


Private Machines

These machines are the property of faculty members and may only be used with their permission.

Hostname Processor Cores / Threads RAM GPU Net Owner
leo Xeon E5-2698 40/80 256GB N/A 10Gb A. Townsend
wooster AMD Ryzen 9 5950x 16/32 128GB RTX 3080Ti 1Gb D. Barbasch
zeno AMD Ryzen 9 5950x 16/32 128GB RTX 3080Ti 10Gb A. Vladimirsky