W. M. Keck High Performance Computing Cluster
This compute cluster is part of the College of Engineering's high performance computing (HPC) resources for scientific research and teaching. It consists of state of the art computing nodes, high compute power and memory, scheduling software, and general purpose engineering applications.
If you have any questions, or need help submitting jobs to the clusters, please email ENS at firstname.lastname@example.org. We are happy to help you with your HPC computing needs.
View the load on the cluster
Software is installed as and when requested by the users. In the case of non-freeware software, users should ensure that the software is licensed appropriately. ENS can help with this. More information on obtaining software. Most software can be found in /usr/local. Programs in bold are loaded and accessed with user modules and the latest versions can be seen by typing "module avail" in the command prompt.
Parallel Jobs in MATLAB
Parallel Jobs in Fluent
The user guide for Fluent is not available online. It can be accessed when you click the Help button when starting fluent. It gives a detailed and clear explanation of running jobs in Fluent.
Univa Grid Engine
This document last modified Thursday May 24, 2018