Problem C: GPU accelerated logic re-simulation

Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany
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引用次数: 5

Abstract

Logic "re"-simulation can be defined as gate level simulation where the input waveforms at every primary input and pseudo-primary input (such as register/RAM outputs) are known. Such waveforms could come from the unit's RTL simulation trace or Automatic Test Pattern Generation (ATPG) vectors. This type of simulation is useful in doing functional verification on gate level netlists and power analysis, since we can take the known trace on all primary and pseudo-primary inputs, re-simulate the trace using propagation of signals through timing-aware gate-level combinational logic, and verify that results at the primary and pseudo-primary outputs match the reference RTL simulation results. However, gate level simulation is usually much slower than RTL simulation. Thus, there is motivation for faster solutions. In this contest, we ask contestants to use Graphic Processing Units (GPUs) to speedup the re-simulation task.
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问题C: GPU加速逻辑重新模拟
逻辑“重”仿真可以定义为门级仿真,其中每个主输入和伪主输入(如寄存器/RAM输出)的输入波形是已知的。这样的波形可以来自单元的RTL模拟轨迹或自动测试模式生成(ATPG)向量。这种类型的仿真对于在门级网络列表和功率分析上进行功能验证非常有用,因为我们可以在所有初级和伪初级输入上获取已知的跟踪,通过时间感知的门级组合逻辑使用信号传播重新模拟跟踪,并验证初级和伪初级输出的结果与参考RTL仿真结果相匹配。然而,门级仿真通常比RTL仿真慢得多。因此,人们有动力寻求更快的解决方案。在这次比赛中,我们要求参赛者使用图形处理单元(gpu)来加速重新模拟任务。
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