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Title: GitHub - gridl/DeepSpeed: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. · GitHub

Open Graph Title: GitHub - gridl/DeepSpeed: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

X Title: GitHub - gridl/DeepSpeed: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

Description: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. - gridl/DeepSpeed

Open Graph Description: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. - gridl/DeepSpeed

X Description: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. - gridl/DeepSpeed

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Simplified install, JIT compiled ops, PyPI releases, and reduced dependencieshttps://github.com/gridl/DeepSpeed#installation
Efficient and robust compressed training through progressive layer droppinghttps://www.deepspeed.ai/news/2020/10/28/progressive-layer-dropping-news.html
DeepSpeed v0.3: Extreme-scale model training for everyonehttps://www.microsoft.com/en-us/research/blog/deepspeed-extreme-scale-model-training-for-everyone/
Powering 10x longer sequences and 6x faster execution through DeepSpeed Sparse Attentionhttps://www.deepspeed.ai/news/2020/09/08/sparse-attention-news.html
Training a trillion parameters with pipeline parallelismhttps://www.deepspeed.ai/news/2020/09/08/pipeline-parallelism.html
Up to 5x less communication and 3.4x faster training through 1-bit Adamhttps://www.deepspeed.ai/news/2020/09/08/onebit-adam-news.html
10x bigger model training on a single GPU with ZeRO-Offloadhttps://www.deepspeed.ai/news/2020/09/08/ZeRO-Offload.html
DeepSpeed Microsoft Research Webinarhttps://note.microsoft.com/MSR-Webinar-DeepSpeed-Registration-On-Demand.html
https://github.com/gridl/DeepSpeed#table-of-contents
Why DeepSpeed?https://github.com/gridl/DeepSpeed#why-deepspeed
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torch's JIT C++ extension loader that relies on ninjahttps://pytorch.org/docs/stable/cpp_extension.html
PyTorchhttps://pytorch.org/
advanced installation instructionshttps://www.deepspeed.ai/tutorials/advanced-install/
https://github.com/gridl/DeepSpeed#features
feature overviewhttps://www.deepspeed.ai/features/
Distributed Training with Mixed Precisionhttps://www.deepspeed.ai/features/#distributed-training-with-mixed-precision
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arXiv:1910.02054https://arxiv.org/abs/1910.02054
In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '20)https://dl.acm.org/doi/10.5555/3433701.3433727
In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '20, Tutorial)https://dl.acm.org/doi/10.1145/3394486.3406703
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arXiv:2101.06840https://arxiv.org/abs/2101.06840
https://github.com/gridl/DeepSpeed#videos
Overviewhttps://www.youtube.com/watch?v=CaseqC45DNc&list=PLa85ZdUjfWS21mgibJ2vCvLziprjpKoW0&index=29
ZeRO + large model traininghttps://www.youtube.com/watch?v=y4_bCiAsIAk&list=PLa85ZdUjfWS21mgibJ2vCvLziprjpKoW0&index=28
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FAQhttps://www.youtube.com/watch?v=nsHu6vEgPew&list=PLa85ZdUjfWS21mgibJ2vCvLziprjpKoW0&index=24
ZeRO & Fastest BERT: Increasing the scale and speed of deep learning training in DeepSpeedhttps://note.microsoft.com/MSR-Webinar-DeepSpeed-Registration-On-Demand.html
DeepSpeed on AzureMLhttps://youtu.be/yBVXR8G8Bg8
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