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arXiv · 2002.06790

Simulating Performance of ML Systems with Offline Profiling

Hongming Huang·Peng Cheng·Hong Xu·Yongqiang Xiong
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Abstract

We advocate that simulation based on offline profiling is a promising approach to better understand and improve the complex ML systems. Our approach uses operation-level profiling and dataflow based simulation to ensure it offers a unified and automated solution for all frameworks and ML models, and is also accurate by considering the various parallelization strategies in a real system.

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Hongming Huang, Peng Cheng, Hong Xu, Yongqiang Xiong. 2020-02-17. Simulating Performance of ML Systems with Offline Profiling. https://arxiv.org/abs/2002.06790

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