Aries is a 152-GPU cluster, containing AMD MI50 GPUs (courtesy of AMD). It contains 19 GPU nodes (gn01-gn19). Each node contains 8 AMD MI50 GPUs with 32 GB memory each.
Jobs are allocated by nodes, not GPUs. Since there are 8 GPUs per node, each submitted job must be able to use at least 8 GPUs. Below we provide examples for how to effectively use this resource.
Since each job submission on Aries runs exclusively on an entire GPU node, the user must launch 8 parallel GPU processes. Ideal to have all 8 parallel runs to have similar run time to maximize efficiency. Make sure the 8 parallel runs have different names for the output file generated.
All Aries users should have access to the data storage directory /work/cms16/. Create a sub-directory within /work/cms16/ with your "username". $mkdir /work/cms16/username
Recommended to store all generated data to your directory in /work/cms16/username and not your /home.
For submitting OpenMM jobs, a singularity container with OpenMM pre-installed is available.