Acceleration of satisfiability algorithms by reconfigurable hardware

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Abstract

We present different architectures to solve Boolean satisfiability problems in instance-specific hardware. A simulation of these architectures shows that for examples from the DIMACS benchmark suite, high raw speed-ups over software can be achieved. We present a design tool flow and prototype implementation of an instance-specific satisfiability solver and discuss experimental results. We measure the overall speed-up of the instance-specific architecture that takes the hardware compilation time into account. The results prove that many of the DIMACS examples can be accelerated with current FPGA technology.

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Platzner, M., & De Micheli, G. (1998). Acceleration of satisfiability algorithms by reconfigurable hardware. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1482, pp. 69–78). Springer Verlag. https://doi.org/10.1007/bfb0055234

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