• DocumentCode
    188522
  • Title

    Twenty-Five Comparators Is Optimal When Sorting Nine Inputs (and Twenty-Nine for Ten)

  • Author

    Codish, Michael ; Cruz-Filipe, Luis ; Frank, Michael ; Schneider-Kamp, Peter

  • Author_Institution
    Dept. of Comput. Sci., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2014
  • fDate
    10-12 Nov. 2014
  • Firstpage
    186
  • Lastpage
    193
  • Abstract
    This paper describes a computer-assisted non-existence proof of 9-input sorting networks consisting of 24 comparators, hence showing that the 25-comparator sorting network found by Floyd in 1964 is optimal. As a corollary, we obtain that the 29-comparator network found by Waksman in 1969 is optimal when sorting 10 inputs. This closes the two smallest open instances of the optimal-size sorting network problem, which have been open since the results of Floyd and Knuth from 1966 proving optimality for sorting networks of up to 8 inputs. The proof involves a combination of two methodologies: one based on exploiting the abundance of symmetries in sorting networks, and the other based on an encoding of the problem to that of satisfiability of propositional logic. We illustrate that, while each of these can single-handedly solve smaller instances of the problem, it is their combination that leads to the more efficient solution that scales to handle 9 inputs.
  • Keywords
    computability; formal logic; network theory (graphs); sorting; 25-comparator sorting network; 29-comparator network; computer-assisted non-existence proof; optimal-size sorting network problem; propositional logic; sorting networks; Computer science; Educational institutions; Encoding; Instruction sets; Optimization; Search problems; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on
  • Conference_Location
    Limassol
  • ISSN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2014.36
  • Filename
    6984472