State assignment for power optimization of sequential circuits based on a probabilistic pairwise swap search algorithm

Aiman H. El-Maleh*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

State assignment (SA) for Finite State Machines (FSMs) has a significant impact on the area and power of synthesized sequential circuits. In this paper, we propose a novel probabilistic pairwise swap search (PPSS) state assignment algorithm. The algorithm is based on assigning probabilities for each pair of code swaps and intelligently updating these probabilities such that potentially useful code swaps will get higher chance of being explored. Experimental results demonstrate the effectiveness of the proposed algorithm by achieving significantly better power results in comparison to other evolutionary state assignment algorithms.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages305-308
Number of pages4
ISBN (Electronic)9781509004805
DOIs
StatePublished - 28 Jan 2016

Publication series

Name2015 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

  • Signal Processing

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