Research Computing

High Performance Computing

Many problems interesting to scientists and engineers simply cannot make use of PCs. They may require too much memory and disk space, would take too long to run, or both. Simply put, HPC is about solving big problems on big machines. More verbosely, high performance computing is the name given to problems requiring, and systems providing, computing power that is not available using solutions available to typical consumers.

Supercomputers are constructed out of smaller, off the shelf components (nodes) that are similar to standard desktop computers. These individual computers are linked together via a high speed "fabric" of connections (interconnection network or interconnect). In order to take advantage of nodes, software to control communication and allocation. On our side, Torque and Moab are used to manage machines and submitted jobs. Your programs should implement the MPI communication system in order to utilize the machines efficiently.

Useful For: Users interested in running parallel programs, running with large memory requirements, or running for long periods of time should consider this option.

Not Useful For: Users wanting to run a large batch of small, single processor jobs. Please see the Condor documentation for suggestions.