并行仿真语言中保守算法的透明实现

V. Jha, R. Bagrodia
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引用次数: 50

摘要

与传统的顺序事件表算法相比,并行离散事件模拟具有显著的加速性能。针对并行仿真问题,提出并研究了许多保守算法和乐观算法。我们研究了使用保守算法透明执行仿真模型的问题,并给出了这些透明实现性能的实验结果。实现和比较的保守算法包括空消息算法、条件事件算法以及一种将这些算法结合起来的新算法。我们描述了保守算法如何支持动态拓扑。讨论了表达前瞻性的语言结构。最后,介绍了在各种基准测试上的性能测量,以及对模型特征(如前瞻性、通信拓扑和保守算法性能)之间关系的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transparent Implementation of Conservative Algorithms in Parallel Simulation Languages
Parallel discrete event simulation offers significant speedup over the traditional sequential event list algorithm. A number of conservative and optimistic algorithms have been proposed and studied for parallel simulation. We examine the problem of transparent execution of a simulation model using conservative algorithms, and present experimental results on the performance of these transparent implementations. The conservative algorithms implemented and compared include the null message algorithm, the conditional-event algorithm, and a new algorithm which is a combination of these. We describe how dynamic topology can be supported by conservative algorithms. Language constructs to express lookahead are discussed. Finally, performance measurements on a variety of benchmarks are presented, along with a study of the relationship between model characteristics like lookahead, communication topology and the performance of conservative algorithms.
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