| Name | deep-nccl-wrapper JSON |
| Version |
1.0.2
JSON |
| download |
| home_page | https://help.aliyun.com/document_detail/462422.html?spm=a2c4g.462031.0.0.c5f96b4drcx52F |
| Summary | Deep-NCCL is an AI-Accelerator communication framework for NVIDIA-NCCL. It implements optimized all-reduce, all-gather, reduce, broadcast, reduce-scatter, all-to-all,as well as any send/receive based communication pattern.It has been optimized to achieve high bandwidth on aliyun machines using PCIe, NVLink, NVswitch,as well as networking using InfiniBand Verbs, eRDMA or TCP/IP sockets. |
| upload_time | 2023-11-09 08:11:48 |
| maintainer | |
| docs_url | None |
| author | Alibaba Cloud |
| requires_python | >=3.0 |
| license | Copyright (C) Alibaba Group Holding Limited |
| keywords |
distributed
deep learning
communication
nccl
aiacc
deepnccl
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# Deep-NCCL-Wrapper
Deep-NCCL-Wrapper is a wrapper for [DeepNCCL](https://pypi.org/project/deepnccl/) which Optimized primitives for inter-GPU communication on Aliyun machines.
## Introduction
Deep-NCCL is an AI-Accelerator communication framework for NVIDIA-NCCL.
It implements optimized all-reduce, all-gather, reduce, broadcast, reduce-scatter, all-to-all, as well as any send/receive based communication pattern.
It has been optimized to achieve high bandwidth on aliyun machines using PCIe, NVLink, NVswitch, as well as networking using InfiniBand Verbs, eRDMA or TCP/IP sockets.
## Install
To install Deep NCCL on the system, create a package then install it as root as follow two methods:
- method1: rpm/deb (Recommended)
```sh
# Centos:
wget https://aiacc.oss-accelerate.aliyuncs.com/nccl/rpm/deep-nccl-2.0.1.rpm
rpm -i deep-nccl-2.0.1.rpm
# Ubuntu:
wget https://aiacc.oss-accelerate.aliyuncs.com/nccl/deb/deep-nccl-2.0.1.deb
dpkg -i deep-nccl-2.0.1.deb
```
- method2: python-pypi
```sh
pip install deep-nccl-wrapper
```
## Usage
After install deep-nccl package, you need do nothing to change code!
## Environment
* ***AIACC_FASTTUNING***: Enable Fasttuning for LLMs, default=1 is to enable.
* ***NCCL_AIACC_ALLREDUCE_DISABLE***: Disable allreduce algo, default=0 is to enable.
* ***NCCL_AIACC_ALLGATHER_DISABLE***: Disable allgather algo, default=0 is to enable.
* ***NCCL_AIACC_REDUCE_SCATTER_DISABLE***: Disable reduce_scatter algo, default=0 is to enable.
* ***AIACC_UPDATE_ALGO_DISABLE***: Disable update aiacc nccl algo from aiacc-sql-server, default=0 is to enable.
## Performance
Deep-NCCL can speedup the nccl performance on aliyun EGS(GPU machine), for example instance type 'ecs.ebmgn7ex.32xlarge' is A100 x 8 GPU and using network eRdma.
| GPU(EGS) | Collective | Nodes | Network | Speedup(nccl-tests) |
|-------------|----------------|---------|-----------|---------------------|
| A100 x 8 | all_gather | 2-10 | VPC/eRdma | 30%+ |
| A100 x 8 | reduce_scatter | 2-10 | VPC/eRdma | 30%+ |
| A100 x 8 | all_reduce | 2-10 | VPC/eRdma | 20% |
| V100 x 8 | all_reduce | 2-20 | VPC | 60%+ |
| A10 x 8 | all_reduce | 1 | - | 20% |
## Copyright
All source code and accompanying documentation is copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
All modifications are copyright (c) 2020-2024, ALIYUN CORPORATION. All rights reserved.
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