Parallelizing the branch-and-bound with isomorphism pruning algorithm for classifying orthogonal arrays
Dursun Bulutoglu

TL;DR
This paper introduces a parallelization method for an isomorphism pruning algorithm used in classifying orthogonal arrays, achieving significant speedups and enabling new classifications.
Contribution
A novel parallelization approach for the branch-and-bound with isomorphism pruning algorithm applied to orthogonal array classification.
Findings
Achieved linear speedups in classifying certain orthogonal arrays.
Enabled the classification of all non-OD-equivalent OA(192, k, 2, 4) for k=9,10,11 for the first time.
Abstract
We provide a method for parallelizing the branch-and-bound with isomorphism pruning algorithm developed by Margot [Symmetric ILP: Coloring and small integers, Discrete Optimization (4) (2007), 40-62]. We apply our method to classify orthogonal arrays. For classifying all non-OD- equivalent OA(128, 9, 2, 4) and OA(144, 9, 2, 4) our method results in linear speedups. Finally, our method enables classifying all non-OD-equivalent OA(192, k, 2, 4) for k = 9, 10, 11 for the first time.
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