Exploring structural symmetry automatically in symbolic trajectory evaluation

  • Authors:
  • Yongjian Li;William N. Hung;Xiaoyu Song;Naiju Zeng

  • Affiliations:
  • State Key Lab of Computer Science, Chinese Academy of Sciences, Beijing, China;Synopsys Inc., Mountain View, USA 94043;Dept. ECE, Portland State University, Portland, USA 97207;State Key Lab of Computer Science, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • Formal Methods in System Design
  • Year:
  • 2011

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Abstract

This paper presents a formal theory to characterize symmetry in netlists and symmetry in properties. The inherent correlation between the two types of symmetry is formalized as a theorem, which provides the soundness of our symmetry reduction method. A practical tactic is introduced to effectively integrate the symmetry reduction approach in a hybrid verification environment which combines theorem proving and symbolic trajectory evaluation. Finally, the effecitveness of the symmetry reduction method is demonstrated by case studies.