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A Transferable Approach for Partitioning Machine Learning Models on
  Multi-Chip-Modules

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules

7 December 2021
Xinfeng Xie
Prakash Prabhu
Ulysse Beaugnon
P. Phothilimthana
Sudip Roy
Azalia Mirhoseini
E. Brevdo
James Laudon
Yanqi Zhou
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Papers citing "A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules"

2 / 2 papers shown
Title
Pushing the Limits of Semi-Supervised Learning for Automatic Speech
  Recognition
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Yu Zhang
James Qin
Daniel S. Park
Wei Han
Chung-Cheng Chiu
Ruoming Pang
Quoc V. Le
Yonghui Wu
VLM
SSL
146
308
0
20 Oct 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
237
4,469
0
23 Jan 2020
1