High Performance Computing

origami birds, referencing simple geometries behind complex figures, and the ITS triangles

High-Performance Computing infrastructure was created at Pomona College to address the growing interest among faculty, students, and staff in utilizing aggregated computing power to advance research and teaching college-wide and to actively participate in the discussion about the future of this technology and its impact on the world.


We have dedicated physical nodes on site, with up to 64 cores and 1.5 TB of RAM per node, and with access to the full ITS infrastructure, we have the ability to run a 1000 core job faster than cloud-based services for large datasets, while also addressing contractual and security concerns about the local storage of data. We can also leverage cloud native technologies, and run jobs in XSEDE with access to thousands more cores, and up to 12 TB of RAM per node.

We have site licenses for Mathematica and MatLab, with the ability to run distributed jobs, and a single node license for COMSOL (HPC license can be acquired if needed). We support RStudio and JupyterHub in the HPC environment or as a dedicated server, and we recently enabled web-based submission for Gaussian jobs in Computational Chemistry using WebMO. We support git/GitHub and provide GitLab for auto-grading.

RITG provides consultation and support for all of the platforms we manage. We will help with hardware advice, performance benchmarking, and adopting code to the cloud. In addition, we can help with grant writing, training, and software license management. 

For more information, please visit the main HPC site