Static compaction using overlapped restoration and segment pruning

S. Bommu, S. Chakradhar, K. B. Doreswamy
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引用次数: 38

Abstract

We propose a new technique for static compaction of test sequences. Our method is based on two key ideas: (1) overlapped vector restoration, and (2) identification, pruning, and re-ordering of segments. Overlapped restoration provides a significant computational advantage for large circuits. Segments partition the compaction problem into sub-problems. Segments are identified, dynamically pruned and re-ordered to achieve further compaction and speed up. When compared to the fastest method proposed by I. Pomeranz and S.M. Reddy (1997), our method was 5 to 30 times faster on ISCAS circuits and 20 to 50 times faster on large, industrial designs. The new algorithm was able to successfully process large industrial designs that could not be handled by earlier techniques in 2 CPU days.
静态压缩使用重叠恢复和片段修剪
提出了一种测试序列静态压缩的新技术。我们的方法基于两个关键思想:(1)重叠向量恢复;(2)片段的识别、修剪和重新排序。重叠恢复为大型电路提供了显著的计算优势。分段将压缩问题划分为子问题。片段被识别,动态修剪和重新排序,以实现进一步的压缩和速度。与I. Pomeranz和S.M. Reddy(1997)提出的最快方法相比,我们的方法在ISCAS电路上快5到30倍,在大型工业设计上快20到50倍。新算法能够在2个CPU天内成功处理早期技术无法处理的大型工业设计。
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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