PARALLEL APPLICATION COMMUNICATION PERFORMANCE ON MULTI-CORE HIGH PERFORMANCE COMPUTING SYSTEMS

机译：多核高性能计算系统上的并行应用程序通信性能

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Over the past several years new commodity HPC systemsrnhave been deployed using state-of-the-art compute node architectures.rnWe have been studying parallel application runrntime sensitivity to network performance degradation, developingrntools for characterizing application behavior andrnmodels and metrics for quantifying run time sensitivityrnon commodity single-core HPC systems. This work reexaminesrnthe same problems, using the same tools andrnmethods to determine whether multiple multi-core processorrnHPC systems can be characterized the same way inrnterms communication performance and application sensitivity.rnThe contributions of this work are assessments at therncore, processor, and node level for communication parameterrndetermination in terms of startup and transport timernvariables for common communication types. Another contributionrnis a preliminary run time sensitivity assessment ofrnseveral common HPC benchmarks.

机译：在过去的几年中，已经使用最先进的计算节点体系结构部署了新的商品HPC系统。我们一直在研究并行应用程序运行时对网络性能下降的敏感性，开发了用于表征应用程序行为的工具以及用于量化运行时敏感性的模型和度量。单核HPC系统。这项工作使用相同的工具和方法重新检查了相同的问题，以确定是否可以以相同的方式确定多个多核处理器的HPC系统的特性，从而影响通信性能和应用程序的敏感性。这项工作的贡献在于在通信的核心，处理器和节点级别进行评估。常见通信类型的启动和传输时间变量方面的参数确定。另一位贡献者对几个常见的HPC基准进行了初步的运行时敏感性评估。

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来源
《Proceedings of the IASTED international conferences on informatics 2010》|2010年|p.9-16|共8页
会议地点 Marina del Rey(US);Marina del Rey(US);Marina del Rey(US);Marina del Rey(US);Marina del Rey(US)
作者
Padma Priya Veeraraghavan; Jeffrey J. Evans;
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作者单位

Purdue University West Lafayette, IN, USA email: pveerara@purdue.edu;

Purdue University West Lafayette, IN, USA email: jje@purdue.edu;

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会议组织
原文格式 PDF
正文语种 eng
中图分类信息处理技术;计算技术、计算机技术;
关键词
parallel application run time sensitivity; communication performance evaluation;

机译：并行应用程序运行时敏感性；通信性能评估;

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2. Parallelization Strategies and Performance Analysis of Media Mining Applications on Multi-Core Processors [J] . Wenlong Li, Xiaofeng Tong, Tao Wang, Journal of signal processing systems for signal, image, and video technology . 2009,第2期

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3. Parallel application-level behavioral attributes for performance and energy management of high-performance computing systems [J] . Evans J.J., Lucas C.E. Cluster computing . 2013,第1期

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4. PARALLEL APPLICATION COMMUNICATION PERFORMANCE ON MULTI-CORE HIGH PERFORMANCE COMPUTING SYSTEMS [C] . Padma Priya Veeraraghavan, Jeffrey J. Evans IASTED International Conferences on Informatics . 2010

机译：多核高性能计算系统上的并行应用通信性能
5. Failure analysis and reliability-aware resource allocation of parallel applications in High Performance Computing systems. [D] . Gottumukkala, Narasimha Raju. 2008

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6. Building a medical multimedia database system to integrate clinical information: an application of high-performance computing and communications technology. [O] . H J Lowe, B G Buchanan, G F Cooper, 1995

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7. High Performance Computing Using MPI and OpenMP on Multi-core Parallel Systems [O] . Haoqiang Jin, Dennis Jespersen, Piyush Mehrotra, 2011

机译：在多核并行系统上使用MPI和OpenMP进行高性能计算

PARALLEL APPLICATION COMMUNICATION PERFORMANCE ON MULTI-CORE HIGH PERFORMANCE COMPUTING SYSTEMS

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