Sequence Compaction to Preserve Transition Frequencies

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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 on a directed graph, along with a heuristic utilizing this model. We also propose using multiple sequences for better accuracy with even shorter sequences. Experiments showed that power dissipation can be estimated with ... continued below

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Pinar, Ali & Liu, C.L. December 12, 2002.

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Description

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 on a directed graph, along with a heuristic utilizing this model. We also propose using multiple sequences for better accuracy with even shorter sequences. Experiments showed that power dissipation can be estimated with an error of only 2.3 percent, while simulation times are reduced by 10. Proposed methods effectively preserve transition frequencies and generated solutions that are very close to an optimal. Experiments also showed that multiple sequences granted more accurate results with even shorter sequences.

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OSTI as DE00807439

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  • Other Information: PBD: 12 Dec 2002

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  • Report No.: LBNL--51864
  • Grant Number: AC03-76SF00098
  • DOI: 10.2172/807439 | External Link
  • Office of Scientific & Technical Information Report Number: 807439
  • Archival Resource Key: ark:/67531/metadc740885

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  • December 12, 2002

Added to The UNT Digital Library

  • Oct. 18, 2015, 6:40 p.m.

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  • April 4, 2016, 4:30 p.m.

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Pinar, Ali & Liu, C.L. Sequence Compaction to Preserve Transition Frequencies, report, December 12, 2002; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc740885/: accessed November 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.