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

Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy 0002, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou. A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. In Diana Marculescu, Yuejie Chi, Carole-Jean Wu, editors, Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022. mlsys.org, 2022. [doi]

Abstract

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