Cluster Info

Picture of 64 node cluster on a metal shelf.

Math Cluster

The Math Department has an experimental computational cluster. The 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 64 machines with i7 processors. The first 54 are 6th-generation processors, and the last 10 are 7th generation processors.

Jobs can be sent to all nodes in the cluster, or a subset of the nodes.

At this time, the cluster is working with ssh and Mathematica. We're in the process of getting it working with other applications including MPI, Matlab, Maple, and Magma. Check back on this page because support is rapidly evolving.

Also, if you can get your own application running on the cluster, please write up a short description of how that was done and send it to me, humphrey@cornell.edu, so that we can include it in our documentation.

First Step: Setting up your Cluster SSH access, including testing your access with pdsh commands.

Next: Launching Mathematica Remote Kernels.

MPI: Trying out the MPI 'Hello World' program, which is a step to running many types of parallel jobs. MPI Hello World

Here is some info on running remote workers in Magma: Magma Cluster This is a work in progress since we don't have a nice, working example yet.