Simulating Performance of ML Systems with Offline Profiling

02/17/2020

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by   Hongming Huang, et al.

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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.