Scalability of the cedar system

  • Authors:
  • Stephen W. Turner;Alexander V. Veidenbaum

  • Affiliations:
  • University of Illinois, Urbana, IL;University of Illinois, Urbana, IL

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

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Abstract

Cedar scalability is studied via simulation and measurement. The simulation methodology is verified by comparing simulated performance with that of the real machine. The performance scalability of the interconnection networks and memory modules which compose Cedar's shared memory system is then examined in detail. The system is shown to be basically scalable in performance, but not perfectly so. A "brute force" approach to increasing scalability, doubling the clock speed of the memory subsystem, is shown to be only moderately effective at improving scalability. Finally, by limiting traffic in the network, the scalablity of the system is increased signficantly at very little cost.