Difference between revisions of "Cluster Info"

The Math Department has an experimental computational cluster. It works fine for computation, but theThe main purpose is for configuring and testing distributed computing applications so that they can be run on larger clusters. However, since our recent upgrades, the computational cluster is very fast for certain workloads.

The cluster is 4064 machines with i7 processors. The first 3254 are 6th-generation processors, and the last 810 are 7th generation processors.

At this time, the cluster is working with ssh MPI, Pari/gp using MPI, and Mathematica. We're in the process of getting it working with other applications including MPI, Matlab, Maple, and Magma. Many applications can be used for 'Pleasingly Parallel' workloads by running independent simultaneous programs using pdsh. Macaulay2 is available on all of the nodes for this purpose. Check back on this page because support is rapidly evolving.

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