The impact of I/O on program behavior and parallel scheduling

  • Authors:
  • Emilia Rosti;Giuseppe Serazzi;Evgenia Smirni;Mark S. Squillante

  • Affiliations:
  • Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano, Milano, Italy;Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy;Department of Computer Science, College of William and Mary, Williamsburg, VA;IBM Research Division, T. J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
  • Year:
  • 1998

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Abstract

In this paper we systematically examine various performance issues involved in the coordinated allocation of processor and disk resources in large-scale parallel computer systems. Models are formulated to investigate the I/O and computation behavior of parallel programs and workloads, and to analyze parallel scheduling policies under such workloads. These models are parameterized by measurements of parallel programs, and they are solved via analytic methods and simulation. Our results provide important insights into the performance of parallel applications and resource management strategies when I/O demands are not negligible.