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Issue No. 04 - April (2000 vol. 33)
ISSN: 0018-9162
pp: 58-60
<p>Reconfigurable accelerators can improve process time on combinatorial problems with fine-grained parallelism. Such problems contain a huge number of logical operations (NOT, AND, and OR) that can evaluate simultaneously, a characteristic that varies considerably from problem to problem. Because of this variability, such combinatorial problems are approached using instance-specific reconfiguration--hardware tailored to a specific algorithm and a specific set of input data.</p> <p>Boolean satisfiability (SAT for short) is a common combinatorial problem that exhibits fine-grained parallelism. SAT varies considerably based on the situation. Its solution is thus an ideal candidate for improvements based on instance-specific reconfiguration. In fact, simulations of an instance-specific accelerator show potential speed-ups by a factor of up to 140,000 in execution time over the solution by a software solver. The authors detail the results of their prototype that leads to an order of magnitude speedup in the execution of difficult satisfiability problems.</p>

M. Platzner, "Reconfigurable Accelerators for Combinatorial Problems," in Computer, vol. 33, no. , pp. 58-60, 2000.
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