Performance prediction of massively parallel computation by Bayesian inference
Author:
Affiliation:
1. Department of Mechanical and Physical Engineering, Tottori University
2. Information Initiative Center, Hokkaido University
3. Department of Communication Engineering and Informatics, The University of Electro-Communications
Publisher
The Japan Society for Industrial and Applied Mathematics
Subject
General Engineering
Link
https://www.jstage.jst.go.jp/article/jsiaml/14/0/14_13/_pdf
Reference19 articles.
1. 1) K. Tanaka and et al. et al., EigenKernel-a middleware for parallel generalized eigenvalue solvers to attain high scalability and usability, Jpn. J. Ind. Appl. Math., 36 (2019), 719-742.
2. 2) K. Dackland and B. Kågström, An hierarchical approach for performance analysis of scalapack-based routines using the distributed linear algebra machine, in: Applied Parallel Computing. Industrial Computation and Optimization, LNCS, Vol. 1184, pp. 186-195, Springer, Berlin, 1996.
3. 3) J. Pješivac-Grbović and et al. et al., Performance analysis of MPI collective operation, Clust. Comput., 10 (2007), 127-143.
4. 4) T. Hoefler and et al. et al., Toward performance models of MPI implementations for understanding application scaling issues, in: Proc. Euro MPI Users' Group Meeting: Recent Advances in the Message Passing Interface, LNCS, Vol. 6305, pp. 21-30, Springer, Berlin, 2010.
5. 5) E. Peise and P. Bientinesi, Performance modeling for dense linear algebra, in: 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, pp. 406-416, IEEE Computer Society, 2012.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Automatic performance tuning using the ATMathCoreLib tool: Two experimental studies related to dense symmetric eigensolvers;Concurrency and Computation: Practice and Experience;2023-06-30
2. Data-analysis software framework 2DMAT and its application to experimental measurements for two-dimensional material structures;Computer Physics Communications;2022-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3