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Scaling Local Self-Attention for Parameter Efficient Visual Backbones


Mar 30, 2021
Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake Hechtman, Jonathon Shlens

* CVPR 2021 Oral 

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Exploring the limits of Concurrency in ML Training on Google TPUs


Nov 07, 2020
Sameer Kumar, James Bradbury, Cliff Young, Yu Emma Wang, Anselm Levskaya, Blake Hechtman, Dehao Chen, HyoukJoong Lee, Mehmet Deveci, Naveen Kumar, Pankaj Kanwar, Shibo Wang, Skye Wanderman-Milne, Steve Lacy, Tao Wang, Tayo Oguntebi, Yazhou Zu, Yuanzhong Xu, Andy Swing


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Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training


Apr 28, 2020
Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Hongjun Choi, Blake Hechtman, Shibo Wang

* 12 pages, 23 figures, 1 table 

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Scale MLPerf-0.6 models on Google TPU-v3 Pods


Oct 02, 2019
Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou


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Mesh-TensorFlow: Deep Learning for Supercomputers


Nov 05, 2018
Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake Hechtman


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