Mississippi Center for Supercomputing Research

Since 1987, MCSR has enabled Mississippi’s universities and institutions to conduct cutting-edge scientific, engineering, and scholarly work. We provide access to state-supported supercomputing systems, software environments, data storage, and training in computational methods. Our services are available at no charge to faculty, staff, and students affiliated with Mississippi’s public institutions of higher learning.

In addition to hardware access, MCSR offers technical resources for getting started, guidance for running jobs, and software support. We are committed to educational outreach and regularly host training workshops to help researchers and students build essential skills in scientific computing and data analysis.

Whether you're modeling complex systems, processing large datasets, or running simulations, MCSR is here to help you take your research further.

Supercomputers

Maple is a Cray cluster with a theoretical peak performance of 382 TFLOPS, 140 compute nodes, a total of 5,454 CPU cores, 29 NVIDIA Kepler K20 GPUs, 4 NVIDIA Tesla P100 GPUs, 12 NVIDIA Tesla V100S GPUs, and 27.1 TB of memory. This cluster was grant funded in part by the National Science Foundation (CHE-1338056).

Magnolia is an HPE Apollo 2000 cluster with 50 total compute nodes: 44 CPU-only nodes and 6 nodes with dual GPUs. The nodes are interconnected with HDR100 Infiniband. It runs SUSE SLES 15 Linux, uses the Bright Cluster Management software, and uses SLURM for job management.

All systems run SUSE Linux Enterprise Server and are connected to MCSR’s storage system.

Retired Systems

Sequoia was an SGI cluster. It consisted of 124 nodes with a total of 1304 CPU cores interconnected with a mixture of DDR and QDR Infiniband. Nodes had up to 35GB of memory and a varying number of CPU cores.

Catalpa was MCSR’s most recent single-image, shared memory system. It was an SGI UV 2000 with 320 processor cores and 2.5 terabytes of shared memory.