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通过在当前静态时序分析(STA)中引入多输入跳变(MIT)参数库和布尔可满足方法,提出了一种考虑多输入跳变的静态时序分析伪关键路径识别算法。实验结果表明,与传统的静态时序分析算法相比,该算法能识别50%的伪关键路径,并且真实关键路径延时平均减少14.67%,提高了真实关键路径延时边界预估的精确性。
By introducing multi-input transition (MIT) parameter library and Boolean satisfiability method in current static timing analysis (STA), a pseudo-critical path identification algorithm for static timing analysis considering multiple input transitions is proposed. Experimental results show that compared with the traditional static timing analysis algorithm, the algorithm can identify 50% of the pseudo-critical paths, and the real critical path delay reduces by 14.67% on average, which improves the accuracy of the prediction of the real critical path delay boundaries.