Dynamic file-access characteristics of a production parallel scientific workload

  • Authors:
  • David Kotz;Nils Nieuwejaar

  • Affiliations:
  • Dartmouth College, Hanover, NH;Dartmouth College, Hanover, NH

  • Venue:
  • Proceedings of the 1994 ACM/IEEE conference on Supercomputing
  • Year:
  • 1994

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Abstract

Multiprocessors have permitted astounding increases in computational performance, but many cannot meet the intense I/O requirements of some scientific applications. An important component of any solution to this I/O bottleneck is a parallel file system that can provide high-bandwidth access to tremendous amounts of data in parallel to hundreds or thousands of processors.Most successful systems are based on a solid understanding of the expected workload, but thus far there have been no comprehensive workload characterizations of multiprocessor file systems. This paper presents the results of a three week tracing study in which all file-related activity on a massively parallel computer was recorded. Our instrumentation differs from previous efforts in that it collects information about every I/O request and about the mix of jobs running in a production environment. We also present the results of a trace-driven caching simulation and recommendations for designers of multiprocessor file systems.