Trees and Butterflies Barriers in Distributed Simulation System: A Better Approach to Improve Latency and the Processor Idle Time

S. Rizvi, K. Elleithy, A. Riasat
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引用次数: 4

Abstract

Global virtual time (GVT) is used in parallel discrete event simulations to reclaim memory, commit output, detect termination, and handle errors. Mattern 's [I] has proposed G VT approximation with distributed termination detection algorithm. This algorithm works fine and gives optimal performance in terms of accurate GVT computation at the expense of slower execution rate. This slower execution rate results a high GVT latency. Due to the high GVT latency, the processors involve in communication remain idle during that period of time. As a result, the overall throughput of a discrete event parallel simulation system degrades significantly. Thus, the high G VT latency prevents the widespread use of this algorithm in discrete event parallel simulation system. However, if we could improve the latency of GVT computation, most of the discrete event parallel simulation system would likely take advantage of this technique in terms of accurate G VT computation. In this paper, we examine the potential use of tress and butterflies barriers with the Mattern's GVT structure using a ring. Simulation results demonstrate that the use of tree barriers with the Mattern's GVT structure can significantly improve the latency time and thus increase the overall throughput of the parallel simulation system. The performance measure adopted in this paper is the achievable latency for a fixed number of processors and the number of message transmission during the G VT computation.
分布式仿真系统中的树和蝴蝶屏障:一种改善延迟和处理器空闲时间的更好方法
全局虚拟时间(GVT)在并行离散事件模拟中用于回收内存、提交输出、检测终止和处理错误。matn 's [I]提出了基于分布式终止检测算法的gvt近似。该算法工作良好,在GVT精确计算方面提供了最佳性能,但代价是执行速度较慢。这种较慢的执行率导致较高的GVT延迟。由于高GVT延迟,涉及通信的处理器在这段时间内保持空闲。因此,离散事件并行仿真系统的总体吞吐量显著下降。因此,高gvt延迟阻碍了该算法在离散事件并行仿真系统中的广泛应用。然而,如果我们能够提高GVT计算的延迟,大多数离散事件并行仿真系统可能会在精确的GVT计算方面利用这种技术。在本文中,我们研究了使用环的Mattern的GVT结构的树和蝴蝶屏障的潜在用途。仿真结果表明,将树屏障与Mattern的GVT结构结合使用可以显著改善延迟时间,从而提高并行仿真系统的整体吞吐量。本文采用的性能度量是固定处理器数量下的可实现延迟和在gvt计算过程中的消息传输次数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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