Abstract
The growing number of Boolean variables requires very efficient approaches to solve the given tasks. We explore the utilization of the GPU for fast parallel Boolean calculations in this chapter. Hundreds of processor cores of the GPU offer a significant potential for improvements. Constraints in their application may restrict the achievable speedup. This chapter gives a taxonomy about possible approaches to solve a problem using a computer. We select one problem from the Boolean domain and summarize alternative approaches for utilizing the GPU. It will be shown that the calculation time could be reduced by several orders of magnitudes for the selected Unate Covering Problem.
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Steinbach, B., Werner, M. (2015). Alternative Approaches for Fast Boolean Calculations Using the GPU. In: Borowik, G., Chaczko, Z., Jacak, W., Łuba, T. (eds) Computational Intelligence and Efficiency in Engineering Systems. Studies in Computational Intelligence, vol 595. Springer, Cham. https://doi.org/10.1007/978-3-319-15720-7_2
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