|Author||Elmaghraby, Adel S. ♦ Soliman, Hussam M.|
|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Abstract||One approach to speed up a discrete-event simulation program is to parallelize the execution of events in a pregenerated traditional simulation event list on a shared-memory multiprocessor. The input to the parallel-event simulator consists of a series of event lists, corresponding to different simulation runs, which are organized in the form of state-dependency graphs with random structures. Each graph is divided into a number of dependency levels which are executed in sequence by the multiprocessor.In this paper, we develop an analytical model for the performance of the parallel-event simulator. In particular, a closed form expression is given for a lower bound on the average response time of a simulation run. Performance is also estimated by simulating the parallel-event simulator. Performance results indicate that, for simulation problems whose event lists contain enough parallelism, the parallel-event simulator is capable of achieving good performance.|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||ACM SIGSIM Simulation Digest (SIML)|
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