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Difference between revisions of "Mathematica Remote Kernels"
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On your Linux desktop, start up Mathematica.
We'll start by launching kernels on
For this example, we're going to start 4 kernels each on ramsey, fibonacci, and
In the Mathematica window, type the following:
<nowiki>LaunchKernels[{"ssh://ramsey/?4","ssh://fibonacci/?4","ssh://boole/?4" }]</nowiki>
Then, right-click that cell and choose 'Evaluate Cell'. The system will launch the remote kernels, and show its progress while it does that. Once all the kernels are launched, you can run calculations on them. To close those kernels, do
[http://graph.math.cornell.edu:3000/d/BPzrVrznz/cluster-pnodes Cluster Pnodes] (You must be on the Cornell network or VPN to use this link)
Note that these graphs will usually show you the last 24 hours, so you can click on the little clock on the upper right and choose a different time interval, like the last hour, so you have a better picture of what is going on. The graphs update only once a minute, so be patient.
If you're running remote kernels on the Ryzen crunchers, they have 32 CPU threads each, so you would want to load them up to 32 to make full use of the CPU, if it was zero before you started. Note that other people are using these machines, so be a good neighbor and don't hog the entire machine.
If you really want to geek out, you can look at the server room power consumption when you're running your job.
[http://graph.math.cornell.edu:3000/d/_wfSvpjmz/server-room-power Server Room Power] (You must be on the Cornell network or VPN to use this link)
The orange and purple
Note the room temperature! The room has a large cooler that uses Cornell Lake-source cooling to cool the room, but your job will still probably warm up the room by a few degrees.
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