Efficient local search for very large-scale satisfiability problems
ACM SIGART Bulletin
Noise strategies for improving local search
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
A SAT Solver Using Reconfigurable Hardware and Virtual Logic
Journal of Automated Reasoning
Local Search Algorithms for SAT: An Empirical Evaluation
Journal of Automated Reasoning
A Runtime Reconfigurable Implementation of the GSAT Algorithm
FPL '99 Proceedings of the 9th International Workshop on Field-Programmable Logic and Applications
Reconfigurable architectures for general-purpose computing
Reconfigurable architectures for general-purpose computing
Evidence for invariants in local search
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Implementing CSAT Local Search on FPGAs
FPL '02 Proceedings of the Reconfigurable Computing Is Going Mainstream, 12th International Conference on Field-Programmable Logic and Applications
Propositional Satisfiability and Constraint Programming: A comparative survey
ACM Computing Surveys (CSUR)
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Stochastic Local Search (SLS) methods have proven to be successful for solving propositional satisfiability problems (SAT). In this paper, we show a hardware implementation of the greedy local search procedure GSAT. With the use of field programmable gate arrays (FPGAs), our implementation achieves one flip per clock cycle by exploiting maximal parallelism and at the same time avoiding excessive hardware cost. Experimental evaluation of our prototype design shows a speedup of two orders of magnitude over optimized software implementations and at least one order of magnitude over existing hardware schemes. As far as we are aware, this is the fastest known implementation of GSAT. We also introduce a high level algorithmic notation which is convenient for describing the implementation of such algorithms in hardware, as well as an appropriate performance measure for SLS implementations in hardware.