Decomposition of timed decision tables and its use in presynthesis optimizations

  • Authors:
  • Jian Li;Rajesh K. Gupta

  • Affiliations:
  • Department of Computer Science, University of Illinois, Urbana-Champaign, Urbana, Illinois;Information & Computer Science, University of California, Irvine, Irvine, California

  • Venue:
  • ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 1997

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Abstract

Presynthesis optimizations transform a behavioral HDL description into an optimized HDL description that results in improved synthesis results. We introduce the decomposition of timed decision tables (TDT), a tabular model of system behavior. The TDT decomposition is based on the kernel extraction algorithm. By experimenting using named benchmarks, we demonstrate how TDT decomposition can be used in presynthesis optimizations.