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most citedTwenty-Five Comparators is Optimal when Sorting Nine Inputs (and Twenty-Nine for Ten)

39 citations · 161 across the 21 of their papers we have counts for

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Showing 2014Show all

6 papers · 1 filter

cs.DS2014★ 19 cited

Optimal-Depth Sorting Networks

Daniel Bundala, Michael Codish, Luís Cruz-Filipe +2

We solve a 40-year-old open problem on the depth optimality of sorting networks. In 1973, Donald E. Knuth detailed, in Volume 3 of "The Art of Computer Programming", sorting networ…

cs.DS2014★ 7 cited

Sorting Networks: the End Game

Michael Codish, Luís Cruz-Filipe, Peter Schneider-Kamp

This paper studies properties of the back end of a sorting network and illustrates the utility of these in the search for networks of optimal size or depth. All previous works focu…

cs.AI2014★ 2 cited

Solving Graph Coloring Problems with Abstraction and Symmetry

Michael Codish, Michael Frank, Avraham Itzhakov +1

This paper introduces a general methodology, based on abstraction and symmetry, that applies to solve hard graph edge-coloring problems and demonstrates its use to provide further…

cs.DM2014★ 39 cited

Twenty-Five Comparators is Optimal when Sorting Nine Inputs (and Twenty-Nine for Ten)

Michael Codish, Luís Cruz-Filipe, Michael Frank +1

This paper describes a computer-assisted non-existence proof of nine-input sorting networks consisting of 24 comparators, hence showing that the 25-comparator sorting network found…

cs.DS2014★ 20 cited

The Quest for Optimal Sorting Networks: Efficient Generation of Two-Layer Prefixes

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

Previous work identifying depth-optimal -channel sorting networks for is based on exploiting symmetries of the first two layers. However, the naive generate-an…

cs.AI2014★ 24 cited

Boolean Equi-propagation for Concise and Efficient SAT Encodings of Combinatorial Problems

Amit Metodi, Michael Codish, Peter James Stuckey

We present an approach to propagation-based SAT encoding of combinatorial problems, Boolean equi-propagation, where constraints are modeled as Boolean functions which propagate inf…