NVIDIA Deep Learning NCCL Documentation
Release Notes (PDF) - v2.21.5 - Last updated June 18, 2024

NCCL Release 2.1.4

Key Features and Enhancements

This NCCL release includes the following key features and enhancements.
  • Added support for InfiniBand GID selection, enabling the use of RoCE v2.
  • Added support for InfiniBand Service Level (SL) selection.

Using NCCL 2.1.4

Ensure you are familiar with the following notes when using this release.
  • The NCCL 2.x API is different from NCCL 1.x. Some porting may be needed for NCCL 1.x applications to work correctly. Refer to the migration documentation in the NCCL Developer Guide.

Known Issues

  • If NCCL returns an error code, set the environment variable NCCL_DEBUG to WARN to receive an explicit error message.
  • Using multiple processes in conjunction with multiple threads to manage the different GPUs may in some cases cause ncclCommInitRank to fail while establishing IPCs (cudaIpcOpenMemHandle). This problem does not appear when using only processes or only threads.
  • NCCL uses CUDA® 9 cooperative group launch by default, which may induce increased latencies in multi-threaded programs. See the NCCL_LAUNCH_MODE knob in the NCCL Developer Guide to restore the original behavior.
  • NCCL 2.1.4-1 embeds libstdc++ and exports its symbols. This can break C++ applications.

Fixed Issues

  • Fixed bug causing CUDA IPC to fail in some situations.
  • Fixed bug causing a crash when p2p mappings are exhausted instead of returning an error.