Event Delivery using Prediction for Faster Parallel SystemC Simulation

Zhongqi Cheng, E. Arasteh, R. Dömer
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引用次数: 2

Abstract

Out-of-order Parallel Discrete Event Simulation (OoO PDES) is an advanced simulation approach that efficiently verifies and validates SystemC models. To preserve the simulation semantics, OoO PDES performs a conservative event delivery strategy which often postpones the execution of waiting threads due to unknown future behaviors of the model. In this paper, based on predicted behaviors of threads, we introduce a novel event delivery strategy that allows waiting threads to resume execution earlier, resulting in significantly increased simulation speed. Experimental results show that the proposed approach increases the OoO PDES simulation speed by up to 4.9x compared to the original one on a 4-core machine.
利用预测进行事件交付,实现更快的并行 SystemC 仿真
无序并行离散事件仿真(OoO PDES)是一种先进的仿真方法,可有效验证和确认 SystemC 模型。为了保持仿真语义,OoO PDES 采用保守的事件交付策略,由于模型的未来行为未知,这种策略通常会推迟等待线程的执行。在本文中,我们根据预测的线程行为,引入了一种新颖的事件交付策略,允许等待的线程提前恢复执行,从而显著提高了仿真速度。实验结果表明,在 4 核机器上,所提出的方法可将 OoO PDES 仿真速度提高到原来的 4.9 倍。
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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