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HPC Clusters

IACS offers access to many compute resources. Some of these are listed here.


 

Troubleshooting

Please report issues via the ticketing system located at https://iacs.supportsystem.com for all clusters: SeaWulf and Ookami.

SeaWulf

SeaWulf is a computational cluster using top of the line components from Penguin, DDN, Intel, Nvidia, Mellanox and numerous other technology partners. It is intended for members of the campus community, as well as industrial partners, and is located in the Computing Center.

More information about the cluster's resources can be found here: Learn more about SeaWulf!

If you have an account and need help getting started, check out the FAQs here.

Attribution to use on publications that use SeaWulf for their research:

The authors would like to thank Stony Brook Research Computing and Cyberinfrastructure , and the Institute for Advanced Computational Science at Stony Brook University for access to the SeaWulf computing system, which was made possible by a $1.4M National Science Foundation grant (#1531492).

Ookami

Ookami is a computer technology testbed supported by the National Science Foundation under grant OAC 1927880. It provides researchers with access to the A64FX processor developed by Riken and Fujitsu for the Japanese path to exascale computing and is currently deployed in the fastest computer in the world, Fugaku.

The Ookami HPE (formerly Cray) Apollo 80 system has 174 A64FX compute nodes each with 32GB of high-bandwidth memory and a 512 Gbyte SSD. This amounts to about 1.5M node hours per year. A high-performance Lustre filesystem provides about 800 TB storage.

For more information about requesting an account and getting started, Learn more about Ookami here!

Attribution to use on publications that use Ookami for their research:

The authors would like to thank Stony Brook Research Computing and Cyberinfrastructure, and the Institute for Advanced Computational Science at Stony Brook University for access to the innovative high-performance Ookami computing system, which was made possible by a $5M National Science Foundation grant (#1927880).