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NCCL Alternatives
Similar projects and alternatives to NCCL
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gloo
Collective communications library with various primitives for multi-machine training. (by facebookincubator)
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InfluxDB
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Thrust
Discontinued [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
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Easy Creation of GnuPlot Scripts from C++
A simple C++17 lib that helps you to quickly plot your data with GnuPlot
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. (by pytorch)
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CUB
Discontinued THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better NCCL alternative or higher similarity.
NCCL reviews and mentions
Posts with mentions or reviews of NCCL.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
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MPI jobs to test
% rm -rf /tmp/nccl ; git clone --recursive https://github.com/NVIDIA/nccl.git ; cd nccl ; git grep MPI Cloning into 'nccl'... remote: Enumerating objects: 2769, done. remote: Counting objects: 100% (336/336), done. remote: Compressing objects: 100% (140/140), done. remote: Total 2769 (delta 201), reused 287 (delta 196), pack-reused 2433 Receiving objects: 100% (2769/2769), 3.04 MiB | 3.37 MiB/s, done. Resolving deltas: 100% (1820/1820), done. README.md: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 send/receive based communication pattern. It has been optimized to achieve high bandwidth on platforms using PCIe, NVLink, NVswitch, as well as networking using InfiniBand Verbs or TCP/IP sockets. NCCL supports an arbitrary number of GPUs installed in a single node or across multiple nodes, and can be used in either single- or multi-process (e.g., MPI) applications. src/collectives/broadcast.cc:/* Deprecated original "in place" function, similar to MPI */
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NVLink and Dual 3090s
If it's rendering, you don't really need SLI, you need to install NCCL so that GPUs memory can be pooled: https://github.com/NVIDIA/nccl
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Distributed Training Made Easy with PyTorch-Ignite
backends from native torch distributed configuration: nccl, gloo, mpi.
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Stats
Basic NCCL repo stats
3
2,808
5.8
about 19 hours ago
NVIDIA/nccl is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of NCCL is C++.
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