JOURNAL ARTICLE

Parallel discrete event simulation for DEVS cellular models using a GPU

Moon Gi SeokTag Gon Kim

Year: 2012 Journal:   IEEE International Conference on High Performance Computing, Data, and Analytics

Abstract

The discrete event systems specification (DEVS) simulation has been studied to analyze complex homogeneous systems which is represented by the cellular models. In the simulation of large-scale DEVS cellular model, it requires a high-performance simulation technique such as parallel simulation. This paper presents a parallel discrete event simulation (PDES) environment using a graphics processing unit (GPU) to simulate DEVS cellular models. In the proposed PDES environment, the DEVS cellular models and their corresponding simulators are mapped to the GPU. Due to the features of the GPU, two parts of the traditional DEVS simulation algorithm are revised. The first is about managing the event list, and the second is about routing output events. To verify the efficiency of the proposed environment, we designed and experimented the case study for a fire-spreading phenomenon, and analyzed the experimental results.

Keywords:
DEVS Discrete event simulation Computer science Graphics processing unit Parallel computing Event (particle physics) Modeling and simulation Computational science Distributed computing Simulation modeling Simulation

Metrics

6
Cited By
0.00
FWCI (Field Weighted Citation Impact)
28
Refs
0.22
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Advanced Queuing Theory Analysis
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Traffic control and management
Physical Sciences →  Engineering →  Control and Systems Engineering

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