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Fast Calculation of Exact Minimal Unate Coverings on Both the CPU and the GPU

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Book cover Computer Aided Systems Theory - EUROCAST 2013 (EUROCAST 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8112))

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Abstract

The calculation of an exact minimal cover of a Boolean function [2] is an NP-complete problem, which has an important application in circuit design. The required time for the calculation could be reduced by a factor of more than 3.5 ∗ 107 in [8] and even 8 ∗ 108 in [7].

In this paper we give a introduction into the definition of this problem and its basic solution. The main contribution of this paper are algorithms which enlarge the improvement factor mentioned above on this very high level for 32 variables p i and 1024 clauses furthermore to 1.8 ∗ 1010 using a single CPU-core and finally 1.2 ∗ 1011 using a GPU.

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References

  1. Cordone, R., Ferrandi, F., Sciuto, D., Wolfler Calvo, R.: An Efficient Heuristic Approach to Solve the Unate Covering Problem. In: Proceedings of the Conference on Design, Automation and Test in Europe, Paris, France, pp. 364–371 (2000)

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  7. Steinbach, B., Posthoff, C.: Improvements of the Construction of Exact Minimal Covers of Boolean Functions. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds.) EUROCAST 2011, Part II. LNCS, vol. 6928, pp. 272–279. Springer, Heidelberg (2012)

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  8. Steinbach, B., Posthoff, C.: Parallel Solution of Covering Problems Super-Linear Speedup on a Small Set of Cores. GSTF International Journal on Computing, Global Science and Technology Forum (GSTF) 1(2), 113–122 (2011)

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Steinbach, B., Posthoff, C. (2013). Fast Calculation of Exact Minimal Unate Coverings on Both the CPU and the GPU. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53862-9_30

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  • DOI: https://doi.org/10.1007/978-3-642-53862-9_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53861-2

  • Online ISBN: 978-3-642-53862-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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