High-Performance Computing Resources

The Mathematical Sciences department provides some basic high-performance computing (HPC) resources to its faculty, staff and graduate students in the form of a small HPC cluster and a shared computing server.

HPC Cluster

Our HPC cluster is composed of 20 nodes (1 head node and 19 compute nodes).  Each node has two AMD Opteron (1.8 GHz) CPUs and 4 GB of RAM.  The cluster is typically used for research requiring parallel-computing methods.  C and FORTRAN compilers, as well as the MATLAB Distributed Computing Engine.  Accounts on the cluster are granted on an as-needed basis.

Shared Computing Server

The shared computing server is available to all faculty, staff and graduate students at the Mathematical Sciences department and requires no additional account to use.  The server has two dual-core AMD Opteron CPUs and 12 GB of RAM.  The server is typically used for large serial computations and general computing.