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QBF-Based Post-Silicon Debug of Speed-Paths Under Timing Variations

机译:时序变化下基于QBF的速度路径的后硅调试

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Speed-path debugging at the post-silicon stage due to timing variations is a challenging problem in designing high-performance digital circuits. In this paper, we propose an efficient and scalable method for automatic speed-path debugging which is based on quantified Boolean formulas (QBF) to detect multiple erroneous paths when taking into account the timing variations. We have proposed new gate-level timing variation and path slowdown models which enable us to formulate such a debugging problem as a QBF problem. The results on the ISCAS'85 and ISCAS'89 benchmarks show that our method enjoys on average 52.4% decrease in the size model, and 63.1% decrease in debugging time in comparison with existing methods. Moreover in situations where existing methods due to the size explosion of abundant copies cannot be applied, the proposed method detects erroneous gates in a reasonable runtime.
机译:由于时序变化而导致的后硅阶段的速度路径调试在设计高性能数字电路时是一个具有挑战性的问题。在本文中,我们提出了一种高效且可扩展的自动速度路径调试方法,该方法基于量化布尔公式(QBF),在考虑到时序变化的情况下可以检测多个错误路径。我们提出了新的门级时序变化和路径减速模型,使我们能够将诸如QBF问题的调试问题表述为。在ISCAS'85和ISCAS'89基准测试中的结果表明,与现有方法相比,我们的方法在大小模型上平均减少了52.4%,调试时间减少了63.1%。此外,在由于大量副本的大小爆炸而无法应用现有方法的情况下,所提出的方法在合理的运行时间中检测到错误的门。

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