Using Star-P® on DoD High Performance Computing Systems

B. Elton, S. Samsi, H. Smith, L. Humphrey, S. Ahalt, A. Chalker, Niraj Srivastava, A. H. Abdullah, P. Boyle
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引用次数: 1

Abstract

This paper provides a step-by-step demonstration of a Very High Level Language system, Star-P, on Department of Defense (DoD) high performance computing (HPC) systems. Specifically, we demonstrate how to effect parallel computing in MATLAB and Python via Star-P on the DoD Supercomputing Resource Center (DSRC) Army Research Laboratory (ARL) 4,488-core Intel Woodcrest MJM system. We demonstrate how to run various Star-P/MATLAB and Star-P/Python programs in parallel on the ARL DSRC MJM system. The results will focus on the use of Star-P software platform and how it delivers mission tempo by enabling rapid application prototyping and allowing transparent use of DSRC HPC resources from familiar desktop environments, such as Microsoft Windows and Linux.
在国防部高性能计算系统上使用Star-P®
本文提供了在国防部高性能计算(HPC)系统上的一个非常高级语言系统Star-P的逐步演示。具体来说,我们演示了如何通过Star-P在国防部超级计算资源中心(DSRC)陆军研究实验室(ARL) 4488核英特尔Woodcrest MJM系统上使用MATLAB和Python实现并行计算。我们演示了如何在ARL DSRC MJM系统上并行运行各种Star-P/MATLAB和Star-P/Python程序。结果将集中在Star-P软件平台的使用,以及它如何通过实现快速应用原型和允许从熟悉的桌面环境(如Microsoft Windows和Linux)透明地使用DSRC HPC资源来交付任务速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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