NDLI: An important factor for optimistic protocol on distributed systems: granularity

Content Provider	IEEE Xplore Digital Library
Author	Eunmi Choi Moon Jung Chung
Copyright Year	1995
Description	Author affiliation: Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA (Eunmi Choi; Moon Jung Chung)
Abstract	Grain size, the amount of computations between communication points, is a quantity to be tuned appropriately depending on the characteristics of the underlying parallel and distributed machines, application problems, and simulation protocols. As target machines for optimistic protocol, the architectural characteristics of a cluster of DEC Alpha workstations are compared to the MasPar MP-2's in view of parallel logic simulation. We study the effects of varying grain size on several performance metrics when more than one logical processes are assigned to a physical processor on distributed systems. We obtain analytic formulas for the total number of simulation cycles and the total execution time, and find the optimal grain sizes for several benchmark circuits when the number of processors varies. Our experimental results show that the grain size greatly affects the performance of parallel logic simulation on distributed systems, and the effects vary depending on the machine independent factors.
Starting Page	642
Ending Page	649
File Size	800667
Page Count	8
File Format	PDF
ISBN	0780330188
DOI	10.1109/WSC.1995.478839
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-12-03
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Grain size Logic Circuit simulation Concurrent computing Distributed computing Computational modeling Workstations Measurement Analytical models
Content Type	Text
Resource Type	Article

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