add zero-offload paper (#680)

* Update README.md

* Update index.md

README.md

@@ -185,6 +185,7 @@ Conduct](https://opensource.microsoft.com/codeofconduct/). For more information
 1. Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He. (2019) ZeRO: memory optimizations toward training trillion parameter models. [arXiv:1910.02054](https://arxiv.org/abs/1910.02054) and [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).
 2. Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, and Yuxiong He. (2020) DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters. [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).
 3. Minjia Zhang, Yuxiong He. (2020) Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping. [arXiv:2010.13369](https://arxiv.org/abs/2010.13369) and [NeurIPS 2020](https://proceedings.neurips.cc/paper/2020/hash/a1140a3d0df1c81e24ae954d935e8926-Abstract.html).
+4. Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He. (2021) ZeRO-Offload: Democratizing Billion-Scale Model Training. [arXiv:2101.06840](https://arxiv.org/abs/2101.06840).
 
 # Videos
 1. DeepSpeed KDD 2020 Tutorial

docs/index.md

@@ -227,6 +227,7 @@ comments.
 1. Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He. (2019) ZeRO: memory optimizations toward training trillion parameter models. [arXiv:1910.02054](https://arxiv.org/abs/1910.02054) and [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).
 2. Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, and Yuxiong He. (2020) DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters. [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).
 3. Minjia Zhang, Yuxiong He. (2020) Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping. [arXiv:2010.13369](https://arxiv.org/abs/2010.13369) and [NeurIPS 2020](https://proceedings.neurips.cc/paper/2020/hash/a1140a3d0df1c81e24ae954d935e8926-Abstract.html).
+4. Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He. (2021) ZeRO-Offload: Democratizing Billion-Scale Model Training. [arXiv:2101.06840](https://arxiv.org/abs/2101.06840).
 
 # Videos
 1. DeepSpeed KDD 2020 Tutorial
@@ -239,3 +240,4 @@ comments.
 2. Microsoft Research Webinar
     * Registration is free and all videos are available on-demand.
     * [ZeRO & Fastest BERT: Increasing the scale and speed of deep learning training in DeepSpeed](https://note.microsoft.com/MSR-Webinar-DeepSpeed-Registration-On-Demand.html).
+3. [DeepSpeed on AzureML](https://youtu.be/yBVXR8G8Bg8)