A domain-specific supercomputer for training deep neural networks-Reference-Cited by-同舟云学术

A domain-specific supercomputer for training deep neural networks

Published:2020-06-18 Issue:7 Volume:63 Page:67-78
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Jouppi Norman P.¹,Yoon Doe Hyun¹,Kurian George¹,Li Sheng¹,Patil Nishant¹,Laudon James¹,Young Cliff¹,Patterson David²

Affiliation:

1. Google, Mountain View, CA

2. Google, Mountain View, CA and University of California, Berkeley, CA

Abstract

Google's TPU supercomputers train deep neural networks 50x faster than general-purpose supercomputers running a high-performance computing benchmark.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3360307

Reference42 articles.

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2. Bahdanau D. Cho K. and Bengio Y. Neural machine translation by jointly learning to align and translate. 2014; arXiv preprint arXiv:1409.0473. Bahdanau D. Cho K. and Bengio Y. Neural machine translation by jointly learning to align and translate. 2014; arXiv preprint arXiv:1409.0473.

3. Chen J. et al. Revisiting distributed synchronous SGD. 2016; arXiv preprint arXiv:1604.00981. Chen J. et al. Revisiting distributed synchronous SGD. 2016; arXiv preprint arXiv:1604.00981.

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