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引用次数: 19

摘要

提出了一种并行离散事件仿真的分层复合同步算法。复合方法结合了异步cmb风格的通道扫描方法和基于同步窗口的方法,以避免两种同步算法都无法实现最佳性能的病态情况。分层方法解决了共享内存多处理器多核机器和分布式内存机器在通信和同步成本上的差异。本文描述了层次复合算法的性能模型,并提出了一种利用线性回归经验预测运行时间的方法。实验结果表明,该模型能较好地预测分层复合算法的整体性能。通过分别用于分布式内存机器和共享内存多处理器多核机器的传统异步和同步方法的不同组合,可以观察到显著的性能改进。
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Hierarchical Composite Synchronization
This paper presents a hierarchical composite synchronization algorithm for parallel discrete-event simulation. The composite approach combines an asynchronous CMB-style channel scanning method with a synchronous window-based method to avoid pathological situations where neither synchronization algorithms would perform optimally. The hierarchical approach addresses the discrepancy in the communication and synchronization cost for shared-memory multiprocessor multicore machines and for distributed-memory machines. The paper describes a performance model for the hierarchical composite algorithm and proposes a method for predicting the runtime empirically using linear regression. Experiment results show that the model can predict the overall performance of the hierarchical composite algorithm. A significant performance improvement has been observed over different combinations of the traditional asynchronous and synchronous approaches used separately for distributed-memory machines and on shared-memory multiprocessor multicore machines.
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