Exploiting K-Distance Signature for Boolean Matching and G-Symmetry Detection

  • Authors:
  • Kuo-Hua Wang

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

  • Venue:
  • Proceedings of the 43rd annual Design Automation Conference
  • Year:
  • 2006

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Abstract

In this paper, we present the concept of k-distance signature which is a general case of many existing signatures. By exploiting k-distance signature, we propose an Algorithm for Input Differentiation AID) which is very powerful to distinguish inputs of Boolean functions. Moreover, based on AID, we propose a heuristic method to detect gsym~of Boolean functions and a Boolean matching algorithm. The experimental results show that our methods are not only effective but also very efficient for Boolean matching and gsym~detection.