17 Departments
49 Research Groups
27 Projects
129 Publications
33 Advanced Degrees
41,109 Completed Simulations
1,027,065 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.

  1. Open ServiceDesk Plus Portal.
  2. Log in with ISO credentials.
  3. Use a brief but descriptive ISSUE TITLE and retain portage.research: in the Subject field.
  4. Update Description box with as much useful information as possible.

    For e.g., command sequence/workflow that is causing the issue, simulation ID, full path to the folder where the simulation was started from, as is error messages, screenshots, etc. will help diagnose and resolve the issue in a timely manner.

Featured researcher and project(s)

Dr. Mahdi Shahbhakti
Assistant Professor, ME-EM

Dr. Shahbhakti's research is centered on developing advanced fuel-efficient combustion engines that promise ... [Read more]

Dr. Gregory Odegard
Professor, ME-EM

Dr. Odegard's research is focused on the computational modeling of advanced engineering materials ... [Read more]

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