K-disjointness paradigm with application to symmetry detection for incompletely specified functions

  • Authors:
  • Kuo-Hua Wang;Jia-Hung Chen

  • Affiliations:
  • Fu Jen Catholic University, Taiwan, R.O.C.;Fu Jen Catholic University, Taiwan, R.O.C.

  • Venue:
  • Proceedings of the 2005 Asia and South Pacific Design Automation Conference
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a K-disjointness paradigm that can effectively search all pairs of minterms with Hamming distance K between two Boolean functions. By this paradigm, we correlate it with symmetry detection problem and propose an efficient symmetry detection algorithm for Boolean functions. Our algorithm can not only handle completely specified functions but also incompletely specified functions. Experimental results on a set of MCNC and ISCAS benchmarking circuits show that our algorithm is indeed very effective and efficient for detecting symmetries of large Boolean functions.