Accelerating SystemC simulations using GPUs

M. Nanjundappa, A. Kaushik, Hiren D. Patel, S. Shukla
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引用次数: 10

Abstract

Recent developments in graphics processing unit (GPU) technology has invigorated an interest in using GPUs for accelerating the simulation of SystemC models. SystemC is extensively used for design space exploration, and early performance analysis of hardware systems. SystemC's reference implementation of the simulation kernel supports a single-threaded simulation kernel. However, modern computing platforms offer substantially more compute power by means of multiple central processing units, and multiple co-processors such as GPUs. This has peaked an interest in parallelizing SystemC simulations. Of these, several efforts focus on utilizing the massive parallelism offered by GPUs as an alternate computing platform. In this paper, we present a summary of these recent research efforts that propose using GPUs for accelerating SystemC simulation.
使用gpu加速系统模拟
图形处理单元(GPU)技术的最新发展激发了人们对使用GPU加速SystemC模型仿真的兴趣。SystemC广泛用于设计空间探索和硬件系统的早期性能分析。SystemC仿真内核的参考实现支持单线程仿真内核。然而,现代计算平台通过多个中央处理单元和多个协处理器(如gpu)提供了更强大的计算能力。这使得并行化SystemC模拟的兴趣达到了顶峰。其中,一些努力集中在利用gpu提供的大规模并行性作为替代计算平台上。在本文中,我们总结了最近提出使用gpu加速SystemC仿真的研究成果。
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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