From 3da841853ca07abf3a09e7bd325a576c4e642c11 Mon Sep 17 00:00:00 2001 From: Jeff Rasley Date: Wed, 25 May 2022 13:53:18 -0700 Subject: [PATCH] add 530b paper (#1979) --- README.md | 1 + docs/index.md | 1 + 2 files changed, 2 insertions(+) diff --git a/README.md b/README.md index aafbbe5e..65482cc1 100755 --- a/README.md +++ b/README.md @@ -211,6 +211,7 @@ Conduct](https://opensource.microsoft.com/codeofconduct/). For more information 8. Conglong Li, Minjia Zhang, Yuxiong He. (2021) Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training. [arXiv:2108.06084](https://arxiv.org/abs/2108.06084). 9. Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He. (2022) Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. [arXiv:2202.06009](https://arxiv.org/abs/2202.06009). 10. Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He. (2022) DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale [arXiv:2201.05596](https://arxiv.org/abs/2201.05596). +11. Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zhang, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro. (2022) Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model [arXiv:2201.11990](https://arxiv.org/abs/2201.11990). # Videos 1. DeepSpeed KDD 2020 Tutorial diff --git a/docs/index.md b/docs/index.md index 38830ce3..37435933 100755 --- a/docs/index.md +++ b/docs/index.md @@ -245,6 +245,7 @@ comments. 8. Conglong Li, Minjia Zhang, Yuxiong He. (2021) Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training. [arXiv:2108.06084](https://arxiv.org/abs/2108.06084). 9. Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He. (2022) Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. [arXiv:2202.06009](https://arxiv.org/abs/2202.06009). 10. Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He. (2022) DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale [arXiv:2201.05596](https://arxiv.org/abs/2201.05596). +11. Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zhang, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro. (2022) Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model [arXiv:2201.11990](https://arxiv.org/abs/2201.11990). # Videos 1. DeepSpeed KDD 2020 Tutorial -- GitLab