Skip to main content

AIACC-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.

Project description

AIACC-2.0 ACSpeed means AIACC communication Compiler Speeding. AIACC-2.0 AGSpeed means AIACC compute Graph SPEEDing. This is a distributed training framework plugin for PyTorch and aiacc nccl communication plugin for many deeplearning framworks including TensorFlow, PyTorch, MXNet and Caffe. This project is to create a uniform distributed training framework plugin tool for major frameworks, and make the distributed training as easy as possible and as fast as possible on Alibaba Cloud.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

aiacc_nccl_cu11-2.17.1-py3-none-any.whl (1.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page