• DocumentCode
    3297942
  • Title

    Simulation and performance estimation for the Rewrite Rule Machine

  • Author

    Aida, Hitoshi ; Goguen, Joseph A. ; Leinwand, Sany ; Lincoln, Patrick ; Meseguer, José ; Taheri, Babak ; Winkler, Timothy

  • Author_Institution
    Dept. of Electr. Eng., Tokyo Univ., Japan
  • fYear
    1992
  • fDate
    19-21 Oct 1992
  • Firstpage
    336
  • Lastpage
    344
  • Abstract
    The authors give an overview of the Rewrite Rule Machine´s (RRM´s) architecture and discuss performance estimates based on very detailed register-level simulations at the chip level, together with more abstract simulations and modeling for higher levels. For a 10000 ensemble RRM, the present estimates are as follows. (1) The raw peak performance is 576 trillion operations per second. (2) For general symbolic applications, ensemble Sun-relative speedup is roughly 6.7, and RRM performance with a wormhole network at 88% efficiency gives an idealized Sun-relative speedup of 59000. (3) For highly regular symbolic applications (the sorting problem is taken as a typical example), ensemble performance is a Sun-relative speedup of 127, and RRM performance is estimated at over 80% efficiency (relative to the cluster performance), yielding a Sun-relative speedup of over 91. (4) For systolic applications (a 2-D fluid flow problem is taken as a typical example), ensemble performance is a Sun-relative speedup of 400-670, and cluster-level performance, which should be attainable in practice, is at 82% efficiency
  • Keywords
    digital simulation; parallel architectures; parallel machines; performance evaluation; Rewrite Rule Machine; Sun-relative speedup; cluster-level performance; overview; peak performance; performance estimation; register-level simulations; sorting problem; symbolic applications; systolic applications; wormhole network; Computational modeling; Computer architecture; Concurrent computing; Discrete event simulation; High performance computing; Parallel machines; Parallel processing; Parallel programming; Power engineering computing; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Massively Parallel Computation, 1992., Fourth Symposium on the
  • Conference_Location
    McLean, VA
  • Print_ISBN
    0-8186-2772-7
  • Type

    conf

  • DOI
    10.1109/FMPC.1992.234941
  • Filename
    234941