Performance prediction of massively parallel computation by Bayesian inference
Numerical Analysis
2022-03-17 v1 Numerical Analysis
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.
Cite
@article{arxiv.2110.14545,
title = {Performance prediction of massively parallel computation by Bayesian inference},
author = {Hisashi Kohashi and Harumichi Iwamoto and Takeshi Fukaya and Yusaku Yamamoto and Takeo Hoshi},
journal= {arXiv preprint arXiv:2110.14545},
year = {2022}
}
Comments
5 pages, 2 figures