• DocumentCode
    660659
  • Title

    An Empirical Study on BLAST Parallel Acceleration

  • Author

    Li Ruan ; Quan Zhou ; Yilei Wu ; Donghui Sui ; Limin Xiao

  • Author_Institution
    State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    4-6 Nov. 2013
  • Firstpage
    162
  • Lastpage
    163
  • Abstract
    Sequence alignment is of great importance in bioinformatics research and one of the areas that present a significant computational challenge because of the amount and complexity of big data to be processed. Most of published implementations in bioinformatics are still focused on the analysis and/or assembly of biological sequences. Moreover, there lacks practical performance comparison on MPI based BLAST (Basic Local Alignment Search Tool) acceleration methods. This paper introduces an empirical study on accelerating BLAST using the MPI, and comparing the speedup performance between pblast based on MPI. Results show our method achieve a good speedup.
  • Keywords
    Big Data; application program interfaces; bioinformatics; message passing; parallel processing; BLAST parallel acceleration; Big Data processing; MPI; basic local alignment search tool acceleration methods; bioinformatics research; biological sequences; sequence alignment; Acceleration; Bioinformatics; Cloud computing; Data handling; Databases; Information management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Service Computing (CSC), 2013 International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/CSC.2013.36
  • Filename
    6693198