Compacting sequences with invariant transition frequencies

  • Authors:
  • Ali Pinar;C. L. Liu

  • Affiliations:
  • Lawrence Berkeley National Laboratory, Berkeley, CA;National Tsing Hua University, Hsinchu, Taiwan

  • Venue:
  • ACM Transactions on Design Automation of Electronic Systems (TODAES)
  • Year:
  • 2003

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Abstract

Simulation-based power estimation is commonly used for its high accuracy despite excessive computation times. Techniques have been proposed to speed it up by compacting an input sequence while preserving its power-consumption characteristics. We propose a novel method to compact a sequence that preserves transition frequencies. We prove the problem is NP-complete, and propose a graph model to reduce it to that of finding a heaviest-weighted trail, and a heuristic utilizing this model. We also propose using multiple sequences for better accuracy with even shorter sequences. Experiments show that power dissipation can be estimated with an error of only 2.3%, while simulation times are reduced by 10. Proposed methods generate solutions that effectively preserve transition frequencies and that are very close to optimal. Experiments also show that multiple sequences grant more accurate results with even shorter sequences.