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A Study of Real World I/O Performance in Parallel Scientific Computing

机译:并行科学计算中实际I / O性能的研究

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摘要

Parallel computing is indisputably present in the future of high performance computing. For distributed memory systems, MPI is widely accepted as a de facto standard. However, I/O is often neglected when considering parallel performance. In this article, a number of I/O strategies for distributed memory systems will be examined. These will be evaluated in the context of COOLFluiD, a framework for object oriented computational fluid dynamics. The influence of the system and software architecture on performance will be studied. Benchmark results will be provided, enabling a comparison between some commonly used parallel file systems.
机译:在高性能计算的未来,并行计算无疑是存在的。对于分布式存储系统,MPI被广泛接受为事实上的标准。但是,在考虑并行性能时,通常会忽略I / O。在本文中,将研究许多用于分布式存储系统的I / O策略。这些将在COOLFluiD(面向对象的计算流体动力学框架)的上下文中进行评估。将研究系统和软件体系结构对性能的影响。将提供基准测试结果,以便在某些常用的并行文件系统之间进行比较。

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