Solving satisfiability problems using reconfigurable computing

Takayuki Suyama, Makoto Yokoo, Hiroshi Sawada, Akira Nagoya

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)


This paper reports on an innovative approach for solving satisfiability problems for propositional formulas in conjunctive normal form (SAT) by creating a logic circuit that is specialized to solve each problem instance on field programmable gate arrays (FPGAs). This approach has become feasible due to recent advances in reconfigurable computing and has opened up an exciting new research field in algorithm design. SAT is an important subclass of constraint satisfaction problems, which can formalize a wide range of application problems. We have developed a series of algorithms that are suitable for logic circuit implementation, including an algorithm whose performance is equivalent to the Davis-Putnam procedure with powerful dynamic variable ordering. Simulation results show that this method can solve a hard random 3-SAT problem with 400 variables within 1.6 min at a clock rate of 10 MHz. Faster speeds can be obtained by increasing the clock rate. Furthermore, we have actually implemented a 128-variable 256-clause problem instance on FPGAs.

Original languageEnglish
Pages (from-to)109-116
Number of pages8
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Issue number1
Publication statusPublished - Feb 2001
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering


Dive into the research topics of 'Solving satisfiability problems using reconfigurable computing'. Together they form a unique fingerprint.

Cite this