Comments (1)
NCCL should work on all power platforms and uses GPUDirect P2P or copies through system memory to get the best performance out of the platform.
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Related Issues (20)
- What's the relationship between nccl protcols and inter-node communication?
- Internal error when submitting a job to a Ray cluster HOT 1
- all-reduce slower on v2.20.5 compared to v2.18.5 on AWS g5.48xlarge (8 x A10G) HOT 15
- How is the logic for allocating data across different channels? HOT 2
- How does collective operations call runRing, runTreeUpDown, and runTreeSplit HOT 1
- Why there are two IDs for MNNVL support? HOT 2
- Why duplicate nChannels in connect.cc HOT 1
- All Reduce Performance on H100 VMs HOT 1
- NCCL fallback to Ring,LL on broadcast perf and NCCL_ALGO=Tree HOT 1
- why two GPU far than PXB under intel cpu use P2P will be slower(without NVLink) HOT 2
- About NVLS MC/UC buffer
- nccl-test can use nvidia sharp, but training job can not use nvidia sharp
- Dual 4090 bandwidth slower with PCIe HOT 1
- Profiling Tools for NCCL collective operations
- Local user buffer registration for NVLink SHARP HOT 1
- Some questions about selecting NET when searching channels. HOT 12
- Compute time in the reduction operation
- Understanding LL, LL128, and Simple Protocols
- Performance Degradation in Alltoall Operation with NCCL 2.19 and 2.20 HOT 5
- NCCL2.21 hangs at cudaLaunchKernelExC() HOT 6
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