MCSR currently has three supercomputers: Sequoia, Catalpa, and Maple.

Sequoia is a cluster and MCSR’s oldest supercomputer. It consists of 124 nodes with a total of 1304 CPU cores interconnected with a mixture of DDR and QDR Infiniband. Nodes have 35GB of memory and a varying number of CPU cores.

Catalpa is MCSR’s only single-image, shared memory system, and should be used for large memory jobs that are unable to be run across multiple nodes on one of the clusters. It is an SGI UV 2000 with 320 processor cores and 2.5 terabytes of shared memory.

Maple is a Cray cluster with 47 compute nodes, a total of 1228 CPU cores, and 29 NVIDIA Kepler K20 GPUs, and 3.3TB of memory. This cluster has theoretical peak of 70 TFLOPS. This cluster is grant funded by the National Science Foundation (CHE-1338056).

All systems run SUSE Linux Enterprise Server 12 and are connected to MCSR’s storage system.