Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43046
Title: Analytic method for predicting simulation parallelism
Authors: Wang, Hong
Teo, Yong Meng 
Tay, Seng Chuan 
Issue Date: 2000
Source: Wang, Hong,Teo, Yong Meng,Tay, Seng Chuan (2000). Analytic method for predicting simulation parallelism. Proceedings of the IEEE Annual Simulation Symposium : 211-218. ScholarBank@NUS Repository.
Abstract: The ability to predict the performance of a simulation application before its implementation is an important factor to the adoption of parallel simulation technology in industry. Ideally, a simulationist estimates the inherent parallelism of a simulation problem to determine whether it is worthwhile to invest resources to carry out a parallel simulation. In this paper, we proposed an analytic method for predicting the simulation parallelism of a simulation problem that is independent of implementation details. We assume that the system to be simulated is modelled as a network of logical processes, and each logical process models a queuing server center. Unlike many analytic models reported in the literature, we consider the causal relations among events in a simulation. Causality effects reduce event parallelism. Our proposed analytic method gives a tighter upper bound on performance speedup. Validation experiments show that our analytic prediction of simulation parallelism differs from that of critical path analysis by 2.9% and 18.8% in open and closed systems respectively.
Source Title: Proceedings of the IEEE Annual Simulation Symposium
URI: http://scholarbank.nus.edu.sg/handle/10635/43046
ISBN: 0769505988
ISSN: 02724715
Appears in Collections:Staff Publications

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