Balanced multi-process parallel algorithm for chemical compound inference with given path frequencies

  • Jiayi Zhou
  • , Kun Ming Yu*
  • , Chun Yuan Lin
  • , Kuei Chung Shih
  • , Chuan Yi Tang
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations

    Abstract

    To enumerate chemical compounds with given path frequencies is a fundamental procedure in Chemo- and Bio-informatics. The applications include structure determination, novel molecular development, etc. The problem complexity has been proven as NP-hard. Many methods have been proposed to solve this problem. However, most of them are heuristic algorithms. Fujiwara et al. propose a sequential branch-and-bound algorithm. Although it reaches all solutions and avoids exhaustive searching, the computation time still increases significantly when the number of atoms increases. Hence, in this paper, a parallel algorithm is presented for solving this problem. The experimental results showed that computation time was reduced even when more processes were launched. Moreover, the speed-up ratio for most of the test cases was satisfactory and, furthermore, it showed potential for use in drug design.

    Original languageEnglish
    Title of host publicationAlgorithms and Architectures for Parallel Processing - 10th International Conference, ICA3PP 2010, Workshops
    Pages178-187
    Number of pages10
    EditionPART 2
    DOIs
    StatePublished - 2010
    Event10th International Conference Algorithms and Architectures for Parallel Processing, ICA3PP 2010 - Busan, Korea, Republic of
    Duration: 21 05 201023 05 2010

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume6082 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference10th International Conference Algorithms and Architectures for Parallel Processing, ICA3PP 2010
    Country/TerritoryKorea, Republic of
    CityBusan
    Period21/05/1023/05/10

    Keywords

    • Branch-and-bound algorithm
    • Chemical compound inference
    • Drug design
    • Load-balancing

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