Efficient kernel generation based on implicit cube set representations and its applications

Hiroshi Sawada, Shigeru Yamashita, Akira Nagoya

Research output: Contribution to journalArticle

Abstract

This paper presents a new method that efficiently generates all of the kernels of a sum-of-products expression. Its main feature is the memorization of the kernel generation process by using a graph structure and implicit cube set representations. We also show its applications for common logic extraction. Our extraction method produces smaller circuits through several extensions than the extraction method based on two-cube divisors known as best ever.

Original languageEnglish
Pages (from-to)2513-2519
Number of pages7
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE83-A
Issue number12
Publication statusPublished - Dec 1 2000

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ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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