Apr 5, 2025 · python-pytorch-cuda python-pytorch-opt-cuda python-tensorflow-cuda python-tensorflow-opt-cuda tensorflow-cuda tensorflow-opt-cuda onnxruntime (optional) openucc ...

NCCL (pronounced "Nickel") is a stand-alone library of standard communication routines for GPUs, implementing all-reduce, all-gather, reduce, broadcast, reduce-scatter, as well as any …

NCCL has an extensive set of environment variables to tune for specific usage. Environment variables can also be set statically in /etc/nccl.conf (for an administrator to set system-wide …

Apr 14, 2022 · NCCL currently does not implement intra-node trees. It would require a specific intra-node topology search for perfect bandwidth and the performance gain may not materialize.

NCCL is not a full-blown parallel programming framework; rather, it is a library focused on accelerating collective communication primitives. This NVIDIA Collective Communication …

nccl 2.26.2-2 File List Package has 8 files and 8 directories. Back to Package

Required by (55) caffe-cuda (requires nccl) caffe-cuda (requires nccl) (make) caffe-cuda-doc (requires nccl) (make) caffe-cuda-doc-git (requires nccl) (make) caffe ...

NCCL provides routines such as all-gather, all-reduce, broadcast, reduce, reduce-scatter as well as point-to-point send and receive that are optimized to achieve high bandwidth and low …

Apr 27, 2019 · Library for NVIDIA multi-GPU and multi-node collective communication primitives This item contains old versions of the Arch Linux package for nccl. Website of the upstream …

Use NCCL collective communication primitives to perform data communication. You can familiarize yourself with the NCCL API documentation to maximize your usage performance. …