Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40787
Title: Implementing CSAT local search on FPGAs
Authors: Henz, M. 
Tan, E.
Yap, R.H.C. 
Issue Date: 2002
Source: Henz, M.,Tan, E.,Yap, R.H.C. (2002). Implementing CSAT local search on FPGAs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2438 LNCS : 1156-1159. ScholarBank@NUS Repository.
Abstract: Stochastic local search methods such as GSAT, WalkSAT and their variants have been used successfully at solving propositional satisfiability problems (SAT). The key operation in these local search algorithms is the speed of variable flipping. We present a parallel FPGA designs for CSAT capable of one flip per clock cycle which is achieved by exploiting maximal parallelism and "multi-try" pipelining. Experimental results show that a speedup of two orders of magnitude over software implementations can be achieved. © Springer-Verlag Berlin Heidelberg 2002.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40787
ISBN: 3540441085
ISSN: 03029743
Appears in Collections:Staff Publications

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