SCALASCA Parallel Performance Analyses of SPEC MPI2007 Applications

Author:

Szebenyi Zoltán,Wylie Brian J. N.,Wolf Felix

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. Standard Performance Evaluation Corporation, SPEC MPI2007 benchmark suite, http://www.spec.org/mpi2007/

2. Müller, M.S., van Waveren, M., Lieberman, R., Whitney, B., Saito, H., Kalyan, K., Baron, J., Brantley, B., Parrott, C., Elken, T., Feng, H., Ponder, C.: SPEC MPI 2007 — An application benchmark for clusters and HPC systems. In: Proceedings of ISC 2007, Dresden, Germany (June 2007) (Also available as internal report ZIH-IR-0708, Technische Universität Dresden, Germany)

3. Müller, M.S.: Applying performance tools to real world applications. In: Proceedings of Seminar 07341 on Code Instrumentation for Massively Parallel Performance Analysis, Dagstuhl, Germany (September 2007)

4. Müller, M.S., Knüpfer, A., Jurenz, M., Lieber, M., Brunst, H., Mix, H., Nagel, W.E.: Developing scalable applications with Vampir, VampirServer and VampirTrace. In: Parallel Computing: Architectures, Algorithms and Applications, Proc. 12th ParCo Conf., Jülich/Aachen, vol. 15, pp. 637–644. IOS Press, Amsterdam (2008)

5. Lecture Notes in Computer Science;K. Fürlinger,2007

Cited by 11 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. Visual Analytics Challenges in Analyzing Calling Context Trees;Programming and Performance Visualization Tools;2019

2. Identifying the Root Causes of Wait States in Large-Scale Parallel Applications;ACM Transactions on Parallel Computing;2016-08-08

3. Calltree-Controlled Instrumentation for Low-Overhead Survey Measurements;2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2016-05

4. Performance Modeling of the HPCG Benchmark;Lecture Notes in Computer Science;2015

5. Extending Scalasca’s Analysis Features;Tools for High Performance Computing 2012;2013

同舟云学术

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