基于事件分类的VHDL仿真加速

Kwang-Il Park, Jun Sung Kim, Heung Bum Kim, Jong Hyuk Choi, Kyungmin Park
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摘要

事件驱动仿真(如VHDL和Verilog仿真)的性能和效率取决于仿真期间发生的事件数量。本文根据模拟的必要性,将事件分为敏感事件和不敏感事件两类,并实现了消除不敏感事件造成的不必要模拟的优化方法。五个实验表明,优化后的VHDL程序运行速度明显快于原来的程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The acceleration of VHDL simulation by classifying events
The performance and efficiency of event-driven simulations, such as VHDL and Verilog simulation, depend on the number of events that occur during the simulation. In this paper, we classify events into two categories, sensitive events and insensitive events, according to the necessity of simulations, and implement the optimization methodology that eliminates unnecessary simulations caused by the insensitive events. Five experiments show that optimized VHDL programs run much faster than the original ones.
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