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arXiv · 2110.14545

Performance prediction of massively parallel computation by Bayesian inference

Hisashi Kohashi·Harumichi Iwamoto·Takeshi Fukaya·Yusaku Yamamoto·Takeo Hoshi
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Abstract

A performance prediction method for massively parallel computation is proposed. The method is based on performance modeling and Bayesian inference to predict elapsed time T as a function of the number of used nodes P (T=T(P)). The focus is on extrapolation for larger values of P from the perspective of application researchers. The proposed method has several improvements over the method developed in a previous paper, and application to real-symmetric generalized eigenvalue problem shows promising prediction results. The method is generalizable and applicable to many other computations.

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Hisashi Kohashi, Harumichi Iwamoto, Takeshi Fukaya, Yusaku Yamamoto, Takeo Hoshi. 2021-10-27. Performance prediction of massively parallel computation by Bayesian inference. https://doi.org/10.14495/jsiaml.14.13

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