• DocumentCode
    1937022
  • Title

    GPU-accelerated DNA Distance Matrix Computation

  • Author

    Ying, Zhi ; Lin, Xinhua ; See, Simon Chong-Wee ; Li, Minglu

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2011
  • fDate
    22-23 Aug. 2011
  • Firstpage
    42
  • Lastpage
    47
  • Abstract
    Distance matrix calculation used in phylogeny analysis is computational intensive. The growing sequences data sets necessitate fast computation method. This paper accelerate Felsenstein´s DNADIST program by using OpenCL to exploit the great computation capability of graphic card. The GPU-accelerated DNADIST program achieves more than 12-fold speedup over the serial CPU program on a personal workstation with a 2.66GHz quad-core Intel CPU and an AMD HD5850 graphics card. And dual HD5850 cards on the same platform perform linear improvement of 24-fold speedup. The program also shows good performance portability by achieving 16-fold speedup with a NVIDIA Tesla C2050 card.
  • Keywords
    DNA; biology computing; computer graphic equipment; coprocessors; evolution (biological); genetics; matrix algebra; AMD HD5850 graphics card; GPU-accelerated DNA distance matrix computation; GPU-accelerated DNADIST program; NVIDIA Tesla C2050 card; OpenCL; phylogeny analysis; quad-core Intel CPU; sequences data sets; serial CPU program; Acceleration; Central Processing Unit; Computational modeling; Computer architecture; Graphics processing unit; Newton method; Phylogeny; GPU; OpenCL; distance matrix; phylogeny;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinagrid Conference (ChinaGrid), 2011 Sixth Annual
  • Conference_Location
    Liaoning
  • Print_ISBN
    978-1-4577-0885-5
  • Type

    conf

  • DOI
    10.1109/ChinaGrid.2011.11
  • Filename
    6051756