DeepSpeed
| Original author(s) | Microsoft Research |
|---|---|
| Developer(s) | Microsoft |
| Initial release | May 18, 2020; 4 years ago (2020年05月18日) |
| Stable release | v0.16.2
/ December 18, 2024; 2 months ago (2024年12月18日) |
| Repository | github |
| Written in | Python, CUDA, C++ |
| Type | Software library |
| License | Apache License 2.0 |
| Website | deepspeed |
DeepSpeed is an open source deep learning optimization library for PyTorch.[1]
Library
[edit ]The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware.[2] [3] DeepSpeed is optimized for low latency, high throughput training. It includes the Zero Redundancy Optimizer (ZeRO) for training models with 1 trillion or more parameters.[4] Features include mixed precision training, single-GPU, multi-GPU, and multi-node training as well as custom model parallelism. The DeepSpeed source code is licensed under MIT License and available on GitHub.[5]
The team claimed to achieve up to a 6.2x throughput improvement, 2.8x faster convergence, and 4.6x less communication.[6]
See also
[edit ]References
[edit ]- ^ "Microsoft Updates Windows, Azure Tools with an Eye on The Future". PCMag UK. May 22, 2020.
- ^ Yegulalp, Serdar (February 10, 2020). "Microsoft speeds up PyTorch with DeepSpeed". InfoWorld.
- ^ "Microsoft unveils "fifth most powerful" supercomputer in the world". Neowin. 18 June 2023.
- ^ "Microsoft trains world's largest Transformer language model". February 10, 2020.
- ^ "microsoft/DeepSpeed". July 10, 2020 – via GitHub.
- ^ "DeepSpeed: Accelerating large-scale model inference and training via system optimizations and compression". Microsoft Research. 2021年05月24日. Retrieved 2021年06月19日.
Further reading
[edit ]- Rajbhandari, Samyam; Rasley, Jeff; Ruwase, Olatunji; He, Yuxiong (2019). "ZeRO: Memory Optimization Towards Training A Trillion Parameter Models". arXiv:1910.02054 [cs.LG].
External links
[edit ]- C++ libraries
- Python (programming language) scientific libraries
- Python (programming language) libraries
- Free and open-source software
- Microsoft development tools
- Microsoft free software
- Microsoft Research
- Software using the MIT license
- 2020 software
- Deep learning software
- Software using the Apache license