Distributed GPU Computing Workshop – June 23, 2026 11-3PM (in-person)
NOTE: This is an in-person session on campus.
Distributed GPU Computing (in-person)
Description: 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.
Note: This is an in-person session. It will not be available via Zoom and it will not be recorded.
Time: 11:00 - 3:00 pm (Lunch and Beverages provided)
Location: NWL 353 (In-Person)
Presenters: Plamen Krastev
Who can attend this workshop: Anyone with an FASRC cluster account (requirement to participate in hands-on exercises)
What you will learn:
- Distributed PyTorch
- NVIDIA NCCL single- and multi-node applications
- using CUDA aware MPI applications
Prerequisites:
-
FASRC cluster account (if you don't have an account, see Request a FAS Research Computing Account)
-
Shouldd have submitted batch job(s) on the FASRC cluster
Registration: REGISTER
