Measuring the scalability of parallel computer systems

  • Authors:
  • J. R. Zirbas;D. J. Reble;R. E. vanKooten

  • Affiliations:
  • Myrias Research Corporation, #900, 10611 - 98 Avenue, Edmonton, Alberta, Canada T5K 2P7;Myrias Research Corporation, #900, 10611 - 98 Avenue, Edmonton, Alberta, Canada T5K 2P7;Myrias Research Corporation, #900, 10611 - 98 Avenue, Edmonton, Alberta, Canada T5K 2P7

  • Venue:
  • Proceedings of the 1989 ACM/IEEE conference on Supercomputing
  • Year:
  • 1989

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Abstract

This paper discusses scalability and outlines a specific approach to measuring the scalability of parallel computer systems. The relationship between scalability and speedup is described. It is shown that a parallel system is scalable for a given algorithm if and only if its speedup is unbounded. A technique is proposed that can be used to help determine whether a candidate model is correct, that is, whether it adequately approximates the system's scalability. Experimental results illustrate this technique for both a poorly scalable and a very scalable system.