Title :
Optimistic protocol analysis in a performance analyser and prediction tool
Author :
Teo, Peihan ; Turner, Stephen John ; Juhasz, Zoltan
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Abstract :
Parallelising sequential discrete event simulation programs is often a tedious process, with no guarantee for speedup. This paper describes a performance analyser tool developed to predict the execution performance of parallel discrete event simulation programs, using either optimistic or conservative protocols. The tool aims to provide the user with the flexibility of choosing the simulation protocol desired, and to make useful comparisons between the results obtained. The novel feature of the analyser is that it predicts the parallel execution performance based on a sequential simulation run, without the parallel implementation developed. This paper describes the structure and operation of the analyser program focusing on the analysis of the optimistic simulation protocol. As the prediction of the optimistic protocol is very different from the conservative one, its uniqueness is illustrated in this paper. The performance analyzer and prediction tool can be used to explore different protocols and parameters in order to provide faster decision making about the final implementation strategy.
Keywords :
decision making; discrete event simulation; parallel programming; performance evaluation; decision making; optimistic protocol; parallel discrete event simulation program; performance analyser tool; protocol analysis; Analytical models; Computational modeling; Concurrent computing; Decision making; Discrete event simulation; Information analysis; Information systems; Performance analysis; Predictive models; Protocols;
Conference_Titel :
Principles of Advanced and Distributed Simulation, 2005. PADS 2005. Workshop on
Print_ISBN :
0-7695-2383-8
DOI :
10.1109/PADS.2005.17