Overview

The Center for Scientific Computing (CSC) at UCSB provides free resources and support for research involving high performance computing (HPC), including multiple server clusters for storing and analyzing data. Find out more information at http://csc.cnsi.ucsb.edu/.

This guide will help you access and use the UCSB server clusters effectively.

Use cases for HPC include:

  • big data
  • parallel computing
  • lengthy computation times
  • restricted-use data

For a broader introduction to HPC with clusters, see the HPC Carpentry’s lessons at https://hpc-carpentry.github.io/.

The software available on the UCSB clusters includes R, Stata, Python, Julia, MATLAB, Git, and \(\LaTeX\). Additional information about available software can be found at http://csc.cnsi.ucsb.edu/docs/scientific-software.

Please acknowledge the CSC in publications and presentations if you are using the clusters in your research. Also send the CSC the citations for your papers and presentations so they can include them in their publications list.