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Difference between revisions of "Mathematica Remote Kernels"
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For the cluster nodes, each one has 8 cpu threads, so ideally if no one else is using the cluster, your job should load up each node to a load of 8 so that you're making full use of each node's CPU. If it's less than 8, you're not using the whole CPU, and if it's more than 8, some of your kernels are waiting for resources.
You can see the status of your the cluster nodes here:
[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)
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.
The status of the crunchers is here:
[http://graph.math.cornell.edu:3000/d/f8zUy_L7k/crunchers Crunchers] (You must be on the Cornell network or VPN to use this link)
==Power Consumption==
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