UA High Performance Computing (HPC) is an interdisciplinary research center focused on facilitating research and discoveries that advance science and technology. We deploy and operate advanced computing and data resources for the research activities of students, faculty, and staff at the University of Arizona. We also provide consulting, technical documentation, and training to support our users.

This site is divided into sections that describe the High Performance Computing (HPC) resources that are available, how to use them, and the rules for use.

The current version of Singularity on Ocelote and Elgato is 3.6.0.  Prior versions have been removed.  Only the latest one is considered secure.  Notify the consultants if you need help with transition to the current version.  In general you should "module load singularity" without reference to the version number.

Matlab 2020a is available on Ocelote with Additional AI Capabilities.

https://www.hpcwire.com/off-the-wire/mathworks-delivers-additional-ai-capabilities-with-release-2020a-of-matlab-and-simulink/

Ocelote was built on CentOS 6, and sometimes the kernel for that version is too old, especially for GPU optimized work.  We have reprovisioned a number of the P100 nodes with CentOS 7.  To use these nodes, the PBS select statement will look like:

select=1:ncpus=28:mem=224gb:np100s=1:os7=True

You can change the other attributes like the number of cores, but os7=True must be present.  The default for the GPU nodes is os7=False
More information is here or can be found here

It is time to move from Python2 to Python3.  We will not be updating the Python module version 2.7.14, but it will not be removed until required, for example by a security exposure.

Anaconda is now available as a module.  It expands the capability of Jupyter with Jupyter Labs; includes RStudio, and the Conda ecosystem.  We recommend you access it through OnDemand and the Ocelote Desktop.  See these instructions.

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