Efficient vector compaction methods for power estimation with consecutive sampling techniques
For large circuits, vector compaction techniques could provide a faster solution for power estimation with reasonable accuracy. Because traditional sampling approach will incur useless transitions between every sampled pattern pairs after they are concatenated into a single sequence for simulation, we proposed a vector compaction method with grouping and single-sequence consecutive sampling technique to solve this problem. However, it is very possible that we cannot find a perfect consecutive sequence without any undesired transitions. In such cases, the compaction ratio of the sequence length may not be improved too much. In this paper, we propose an efficient approach to relax the limitation a little bit such that multiple consecutive sequences are allowed. We also propose an algorithm to reduce the number of sequences instead of setting the number as one to find better solutions for vector compaction problem. As demonstrated in the experimental results, the average compaction ratio and speedup can be significantly improved by using this new approach.
vector compaction power estimation consecutive sampling grouping random sampling