The Great Lakes HPC cluster provides researchers with access to GPUs and large-memory nodes for processing research data at speeds unachievable on a standard computer.
The Great Lakes HPC cluster consists of approximately 13,000 cores available for existing and emerging uses such as data processing, machine learning, and genomics. Great Lakes hosts an extensive list of available software and users can schedule jobs to run on the cores using the Slurm workload manager.
Eligible researchers qualify for up to 80,000 complementary CPU hours on the Great Lakes cluster through the University of Michigan Research Computing Package (UMRCP).