一种基于共享内存的dEVS仿真算法

Román Cárdenas, Kevin Henares, Patricia Arroba, Gabriel A. Wainer, J. L. Risco-Martín
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引用次数: 0

摘要

离散事件系统规范(DEVS)提供了一种统一的方法来精确定义任何离散事件系统。随着所研究系统复杂性的增加,对性能更高的仿真引擎的需求也随之增加。在这项研究中,我们提出了一个链式DEVS模拟器,一个符合DEVS的、面向功能的仿真算法,它利用共享内存模式来提高顺序和并行仿真的性能。我们还说明了这种新方法的积极影响,执行了一组DEVStone合成基准测试,并将最先进的模拟引擎与实现链式算法的更新版本进行了比较。结果表明,与传统的仿真方法相比,链式仿真所带来的同步开销减少了40%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A dEVS Simulation Algorithm Based on Shared Memory for Enhancing Performance
The Discrete EVent System Specification (DEVS) formalism provides a unified method to define any discrete-event system accurately. As the complexity of the system under study increases, the necessity of simulation engines with higher performance rises. In this research, we present a chained DEVS simulator, a DEVS-compliant, function-oriented simulation algorithm that exploits shared memory patterns to improve the performance of sequential and parallel simulations. We also illustrate the positive impact of this novel approach executing a set of DEVStone synthetic benchmarks and comparing a state-of-the-art simulation engine with an updated version that implements the chained algorithm. Results show that the chained simulator introduces up to 40% less synchronization overhead than the traditional simulation approach.
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