DocumentCode :
1957678
Title :
Predicting the performance of synchronous discrete event simulation systems
Author :
Jinsheng Xu ; Moon Jung Chung
Author_Institution :
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
fYear :
2001
fDate :
4-8 Nov. 2001
Firstpage :
18
Lastpage :
23
Abstract :
In this paper we propose a model to predict the performance of synchronous discrete event simulation. The model considers parameters including the number of active objects per cycle, event execution granularity and communication cost. We, derive a single formula that predicts the performance of synchronous simulation. We have benchmarked several VHDL circuits on SGI Origin 2000. The benchmark results show that the prediction model explains more than 90% of parallel simulation execution time. We also measure the effect of computation granularity over performance. The benchmark results show that although higher granularity can have better speedup because of dominance of computation over communication, the computational granularity cannot overshadow the inherent synchronization cost. This model can be used to predict the speed-up expected for synchronous simulation, and to decide whether it is worthwhile to use synchronous simulation before actually implementing it.
Keywords :
discrete event simulation; hardware description languages; probability; software performance evaluation; synchronisation; SGI Origin 2000; VHDL circuits; benchmark; communication cost; computation granularity; event execution granularity; multinomial distribution; parallel simulation execution time; performance model; prediction model; synchronous discrete event simulation; synchronous simulation; Circuit simulation; Computational efficiency; Computational modeling; Computer science; Costs; Discrete event simulation; Moon; Parallel programming; Predictive models; Random variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Aided Design, 2001. ICCAD 2001. IEEE/ACM International Conference on
Conference_Location :
San Jose, CA, USA
ISSN :
1092-3152
Print_ISBN :
0-7803-7247-6
Type :
conf
DOI :
10.1109/ICCAD.2001.968592
Filename :
968592
Link To Document :
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