优化跨XSEDE平台的利用率

Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery Pub Date : 2013-07-22 DOI:10.1145/2484762.2484778

Haihang You, Charng-Da Lu, Ziliang Zhao, Fei Xing

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引用次数: 1

摘要

XSEDE提供的高性能计算资源为研究人员提供了开展科学研究的独特机会。截至2013年，XSEDE由16个具有不同架构设计和功能的系统组成。硬件的异构性和软件的多样性使得有效利用这样一个计算资源联盟非常具有挑战性。例如，用户经常面临构建和运行应用程序的无数种可能性:编译器、数字库和运行时参数。在本文中，我们报告了在Kraken和Gordon两个XSEDE系统上使用不同的编译器和数字库构建的几个流行科学应用程序的性能数据，并提出了编译应用程序以获得最佳性能的最佳方法。通过比较，我们从应用程序的角度验证了上述XSEDE系统之间的SU转换因素。

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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Optimizing utilization across XSEDE platforms

HPC resources provided by XSEDE give researchers unique opportunities to carry out scientific studies. As of 2013 XSEDE consists of 16 systems with varied architectural designs and capabilities. The hardware heterogeneity and software diversity make efficient utilization of such a federation of computing resources very challenging. For example, users are constantly faced with a myriad of possibilities to build and run an application: compilers, numerical libraries, and runtime parameters. In this paper we report performance data of several popular scientific applications built with different compilers and numerical libraries available on two XSEDE systems: Kraken and Gordon, and suggest the best way to compile applications for optimal performance. By comparison, we validate SU conversion factors between the aforementioned XSEDE systems from application's viewpoint.

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Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery

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