Restricted simple disjunctive decompositions based on grouping symmetric variables

Hiroshi Sawada, Shigeru Yamashita, Akira Nagoya

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)


This paper presents an efficient method for a simple disjunctive decomposition, where candidates for the bound set are restricted to sets of symmetric variables to reduce the computation cost. Symmetric variables are detected by depth-first traversals of an ordered binary decision diagram (OBDD), and decompositions are carried out by changing the variable order of the OBDD. We do not change the variable order until the change is really needed. Experimental results show that even if the decomposition form was restricted, many practical functions could be decomposed. The execution time for decomposition was very small even for functions with many variables. Combined with an exhaustive search, the method successfully decomposed some functions that could not be decomposed by exhaustive search alone in a practical amount of time.

Original languageEnglish
Pages (from-to)39-44
Number of pages6
JournalProceedings of the IEEE Great Lakes Symposium on VLSI
Publication statusPublished - Jan 1 1997
Externally publishedYes
EventProceedings of the 1997 7th Great Lakes Symposium on VLSI - Urbana-Champaign, IL, USA
Duration: Mar 13 1997Mar 15 1997

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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