呼吸时间扭曲

J. Steinman
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引用次数: 216

摘要

时间扭曲和呼吸时间桶是支持并行离散事件模拟的两种通用乐观同步策略。然而,每一种方法都有潜在的致命缺点。时间扭曲可能会出现回滚爆炸,这可能会导致大量反消息。另一方面,呼吸时间桶可能无法在每个同步周期处理足够多的事件以保持效率。在同步并行仿真与离散事件仿真环境(SPEEDES)操作系统中,提出了一种新的时间扭曲呼吸策略。这种新策略通过将两种算法混合在一起来解决这两个问题,从而产生两种方法的最佳效果。本文描述了呼吸时间扭曲算法在SPEEDES中的实现,然后展示了这种新方法有时如何提高并行离散事件模拟的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breathing Time Warp
Time Warp and Breathing Time Buckets are two general-purpose optimistic synchronization strategies for supporting parallel discrete-event simulations. However, each one of these approaches has potential fatal shortcomings. Time Warp may exhibit rollback explosions that can cause an avalance of antimessages. Breathing Time Buckets, on the other hand, may not be able to process enough events per synchronization cycle to remain efficient. A new strategy, called Breathing Time Warp, has been developed in the Synchronous Parallel Environment for Emulation and Discrete-Event Simulation (SPEEDES) operating sytem. This new strategy solves both of these problems by mixing the two algorithms together, resulting in the best of both methods. This paper describes the implementation of the Breathing Time Warp algorithm in SPEEDES, and then shows how this new approach sometimes improves the performance of parallel discrete-event simulations.
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