Abstract
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. © Springer-Verlag Berlin Heidelberg 200.
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CITATION STYLE
Kimpe, D., Lani, A., Quintino, T., Vandewalle, S., Poedts, S., & Deconinck, H. (2007). A study of real world I/O performance in parallel scientific computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4699 LNCS, pp. 871–881). Springer Verlag. https://doi.org/10.1007/978-3-540-75755-9_104
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