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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-fecbb2b0283f5e5452813021a81585c3@rc.fas.harvard.edu
DTSTART:20260624T030000Z
DTEND:20260624T030000Z
DTSTAMP:20260513T142200Z
CREATED:20260513
LAST-MODIFIED:20260513
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Distributed GPU Computing Workshop – June 23, 2026 11-3PM (in-person)
DESCRIPTION:NOTE: This is an in-person session on campus.\nDistributed GPU Computing (in-person)\nDescription: In-person training on distributed GPU computing covering topics such as, distributed PyTorch, NVIDIA NCCL single- and multi-node applications, using CUDA aware MPI applications, on FASRC clusters.\nNote: This is an in-person session. It will not be available via Zoom and it will not be recorded.\nLevel: Intermediate/Advanced \nTime: 11:00 - 3:00 pm (Lunch and Beverages provided)\nLocation: NWL 353 (In-Person)\nPresenters: Plamen Krastev\nWho can attend this workshop: Anyone with an FASRC cluster account (requirement to participate in hands-on exercises)\nWhat you will learn:\n\nDistributed PyTorch\nNVIDIA NCCL single- and multi-node applications\nusing CUDA aware MPI applications\n\nPrerequisites:\n\n\nFASRC cluster account (if you don't have an account, see Request a FAS Research Computing Account) ( https://docs.rc.fas.harvard.edu/kb/how-do-i-get-a-research-computing-account/ )\n\n\nShouldd have submitted batch job(s) on the FASRC cluster\n\n\nRegistration:  REGISTER ( https://harvard.az1.qualtrics.com/jfe/form/SV_1LWT1n0U6PSuvmS )\n \n \n\n
URL:https://www.rc.fas.harvard.edu/events/distributed-gpu-computing/
CATEGORIES:In Person,Training
LOCATION:NWL 453
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