z-logo
open-access-imgOpen Access
Greedy Best-First Search for the Optimal-Size Sorting Network Problem
Author(s) -
Cristian Frăsinaru,
Mădălina Răschip
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.09.199
Subject(s) - computer science , sorting , greedy algorithm , sorting network , mathematical optimization , theoretical computer science , sorting algorithm , algorithm , mathematics
In this paper we present an effective algorithm for creating minimal-size sorting networks. Our approach is based on incrementally constructing sets of sorting networks, starting from a specified prefix and adding gradually new comparators. At each step, in order to limit the size of these sets, only the most promising candidates are considered. We introduce a novel rule for implementing the selection of candidates, based on analyzing the structure of a network’s output, instead of simply considering its size. For 16 wires, the running time necessary to determine a sorting network was reduced up to 90 times, compared to state-of-the-art results [21].

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom