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X-ORIGINAL-URL:https://www.rc.fas.harvard.edu/
X-WR-CALNAME:FAS Research Computing
X-WR-CALDESC:HARVARD UNIVERSITY | FACULTY OF ARTS & SCIENCES
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BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-bc06828a994e9e28952b11b1affb9ec9@rc.fas.harvard.edu
DTSTART:20251002T170000Z
DTEND:20251002T183000Z
DTSTAMP:20210416T161800Z
RDATE;VALUE=PERIOD:20220607T170000Z/20220607T183000Z
CREATED:20210416
LAST-MODIFIED:20250903
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:FASRC: GPU Computing on the FASRC cluster
DESCRIPTION:We will cover how you can use GPGPU's on the FASRC cluster. We will talk about what is available and how you can use CUDA/OpenACC on the cluster to accelerate your code. We will further discuss https://docs.rc.fas.harvard.edu/kb/gpgpu-computing-on-the-cluster/ ( https://docs.rc.fas.harvard.edu/kb/gpgpu-computing-on-the-cluster/ ) to provide a few example use cases.  Also, we will talk about NGC containers provided by NVIDIA https://www.nvidia.com/en-us/gpu-cloud/containers/ ( https://www.nvidia.com/en-us/gpu-cloud/containers/ ) and how you can use them on the cluster. \nThis training is for those who already have a FASRC account, and want to learn tools and services.\nTo set up a new account visit https://docs.rc.fas.harvard.edu/kb/how-do-i-get-a-research-computing-account/ ( https://docs.rc.fas.harvard.edu/kb/how-do-i-get-a-research-computing-account/ ) \nYou will need to have set up and logged into your FASRC account prior to the training session. \nTo prepare for the session, we highly recommend our users to visit https://docs.rc.fas.harvard.edu/kb/introduction-to-cluster-online/ and watch recorded videos.\nAudience: FASRC Users\nPre-Requisites: FASRC New Users Training\nCost: None\nLate Drop/Cancel Fee: None\nThis is a live virtual session and we will reserve some time at the end of the session for questions. \nREGISTRATION\nRegister on Zoom for this session: REGISTER ( https://harvard.zoom.us/meeting/register/B9jRwcsMSN2I1EFflirnMw )\nAfter registering you will receive a link to the Zoom meeting for that date.\nFor other training sessions, please visit: \nhttps://www.rc.fas.harvard.edu/upcoming-training/\nPast sessions slides and videos can be found at:\nhttps://docs.rc.fas.harvard.edu/kb/training-materials/\n
URL:https://www.rc.fas.harvard.edu/events/gpu-computing-on-the-cluster/
CATEGORIES:Training
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