Comments (2)
NCCL's focus has been on operations where getting the best performance is hard. Scatter, gather and alltoall can all be implemented with a simple for loop of cudaMemcpy and NCCL wouldn't be able to provide better performance. So aside from the convenience of having those operations in NCCL, it brings little value to developers, hence the low priority.
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Related Issues (20)
- About sync in nvls algorithm
- NCCL Tree allreduce test cannot reach the theoretical bus bandwidth on 2 nodes with 4 nics HOT 7
- how does NCCL support peer-to-peer connections across NUMA nodes without the features of NICs and NVLinks? HOT 2
- How can I test IB bandwidth when NCCL is running?
- Single or double ring HOT 1
- Missing header file HOT 7
- Why does NVLSTree Allreduce perform worse than Ring Allreduce? HOT 1
- Encountering Random Segmentation Fault During NCCL-Tests HOT 14
- Ring broadcast
- inter-node nvls process when ib sharp not supported HOT 1
- NCCL Error on Multi-Node Training with Mixed GPU Setup HOT 2
- why intra-node ring only search one-direction bw?
- NCCL test, Tree is slower than Ring HOT 2
- Use nsight system to profile nccl p2p, I find something confused ...
- Scheduling to Packet Sending Connection from ncclEnqueueCheck to finally sending the packet in misc/socket.cc::socketProgressOpt
- standardize code style
- NCCL WARN Cuda failure 'named symbol not found' HOT 2
- NCCL panic with nccl-test with 2 GPUs inside kubevirt VM HOT 10
- Why NVLS allreduce performance is so weird? HOT 5
- Why needs double check in ncclIbIsend and ncclIbIrecv?
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