17 Departments
45 Research Groups
27 Projects
129 Publications
18 Advanced Degrees
35,240 Completed Simulations
913,100 CPU Core Hours

Named after the waterway that cuts across the Keweenaw Peninsula, the Portage Canal, and built with Rocks Cluster Distribution 6.1.1 (with CentOS 6.3), Portage is a shared high-performance computing cluster.

It is used for testing, educational (course work and/or senior design projects) and gateway/preliminary research projects involving non-confidential and non-sponsored data.

It has one front end, one login node, one 6 TB RAID60 NAS node serving the /research/ partition, fivetraditional CPU compute nodes [each having 16 CPU cores (Intel Sandy Bridge E5-2670) and 64 GB RAM] and one GPU compute node [each having 16 CPU cores (Intel Sandy Bridge E5-2670), 64 GB RAM and 4 NVIDIA Tesla M2090 GPUs].

A Gigabit ethernet backend network serves the administrative needs of this cluster, and a 56 Gbps InfiniBand network serves its computing needs.

Rocks Cluster Distribution Originally started by National Partnership for Advanced Computing Infrastructure and San Diego Supercomputer Center and called NPACI Rocks, Rocks Cluster Distribution is aimed at making every aspect (deploy, manage, upgrade and scale) of high performance computing clusters easy.

National Science Foundation Rocks is supported by the National Science Foundation, under grants OCI-0721623 and OCI-1032778.

Featured researcher and project(s)

Dr. Ravindra Pandey
Professor, Physics

Dr. Pandey's research focuses on searching of novel 2D materials with different structures and exploring ... [Read more]

Dr. Adrienne Minerick
Professor, Chem. Engg

Dr. Minerick's research is focused on electrokinetics with an emphasis on medical microdevices ... [Read more]

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Santa brought us a 216-port @MellanoxTech InfiniBand switch. Merry Christmas from our little supercomputer at… https://t.co/C4TXxINH87



Enigma and @MATLAB https://t.co/srWWtH3dFD



Grace Hopper and Margaret Hamilton amongst recipients of the Presidential Medal of Freedom https://t.co/ngX0EjxwCa #SC16 @Supercomputing