{"id":1680,"date":"2020-06-18T14:31:17","date_gmt":"2020-06-18T18:31:17","guid":{"rendered":"https:\/\/carleton.ca\/mae\/?page_id=1680"},"modified":"2025-07-08T13:43:03","modified_gmt":"2025-07-08T17:43:03","slug":"high-performance-computing","status":"publish","type":"page","link":"https:\/\/carleton.ca\/mae\/computing-resources\/high-performance-computing\/","title":{"rendered":"High Performance Computing"},"content":{"rendered":"\n
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\n High Performance Computing\n <\/h1>\n \n \n <\/header>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n<\/section>\n

High Performance Computing<\/h2>

There are several resources for High Performance Computing, i.e., running computational jobs that require multiple cores and larger amounts of memory than what is available on a Desktop Computer.<\/p>\n

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  1. MAE Linux cluster<\/li>\n
  2. MAE Windows Compute Servers<\/li>\n
  3. 杏吧原创\u2019s Research Computing Group<\/a><\/li>\n
  4. Digital Alliance of Canada<\/a><\/li>\n<\/ol>\n

    1 – MAE Linux Cluster<\/p>\n

    The Department of Mechanical and Aerospace Engineering has an updated Linux cluster available to graduate students for research and undergrad students for Capstone project work.\u00a0 The cluster provides computing resources for computational simulations that are not practical to run on the lab desktops due to compute time or memory limits.\u00a0 On average, simulations will run 4 times faster on the cluster (using 2 nodes, 40 cores) than a lab desktop (i7 with 8 cores) and can run in the background without the need to stay logged onto the system.<\/p>\n

    The cluster is running CentOS 7 with SLURM as the cluster management and queuing system.\u00a0 It is currently capable of running:<\/p>\n