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
Link To Document :
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