The Quest for Optimal Sorting Networks: Efficient Generation of Two-Layer Prefixes
Previous work identifying depth-optimal n-channel sorting networks for 9 ≤ n ≤ 16 is based on exploiting symmetries of the first two layers. However, the naive generate-and-test approach typically applied does not scale. This paper revisits the problem of generating two-layer prefixes modulo symmetr...
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| Veröffentlicht in: | 2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing S. 359 - 366 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
01.09.2014
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| Schlagworte: | |
| ISBN: | 9781479984473, 1479984477 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Previous work identifying depth-optimal n-channel sorting networks for 9 ≤ n ≤ 16 is based on exploiting symmetries of the first two layers. However, the naive generate-and-test approach typically applied does not scale. This paper revisits the problem of generating two-layer prefixes modulo symmetries. An improved notion of symmetry is provided and a novel technique based on regular languages and graph isomorphism is shown to generate the set of non-symmetric representations. An empirical evaluation demonstrates that the new method outperforms the generate-and-test approach by orders of magnitude and easily scales until n = 40. |
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| ISBN: | 9781479984473 1479984477 |
| DOI: | 10.1109/SYNASC.2014.55 |

