Parallel DEVS: a parallel, hierarchical, modular, modeling formalism
WSC '94 Proceedings of the 26th conference on Winter simulation
WSC '95 Proceedings of the 27th conference on Winter simulation
A heterogeneous simulation framework based on the DEVS BUS and the high level architecture
Proceedings of the 30th conference on Winter simulation
Parallel simulation: parallel and distributed simulation systems
Proceedings of the 33nd conference on Winter simulation
Theory of Modeling and Simulation
Theory of Modeling and Simulation
OpenMP: An Industry-Standard API for Shared-Memory Programming
IEEE Computational Science & Engineering
Models of Complex Physical Systems Using Cell-DEVS
SS '01 Proceedings of the 34th Annual Simulation Symposium (SS01)
Modeling and simulation of complex systems with Cell-DEVS
WSC '04 Proceedings of the 36th conference on Winter simulation
Amdahl's Law in the Multicore Era
Computer
Flattened Conservative Parallel Simulator for DEVS and CELL-DEVS
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 01
MPI-Based Distributed in DEVS Simulation
IITA '09 Proceedings of the 2009 Third International Symposium on Intelligent Information Technology Application - Volume 02
Accelerating large-scale DEVS-based simulation on the cell processor
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Exploring Multi-Grained Parallelism in Compute-Intensive DEVS Simulations
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
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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.