• DocumentCode
    85318
  • Title

    Hardware Accelerators in Computational Biology: Application, Potential, and Challenges

  • Author

    Majumder, Turbo ; Pande, Partha Pratim ; Kalyanaraman, Ananth

  • Author_Institution
    Dept. of ElectrHauz Khas. Eng., Indian Inst. of Technol. Delhi, New Delhi, India
  • Volume
    31
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    8
  • Lastpage
    18
  • Abstract
    Computational biology is increasingly relying on hardware accelerators to allow data processing to keep up with the increasing amount of data generated from biology applications. This paper gives an introduction to the area of hardware accelerators for computational biology and a comparative study of a set of biological applications.
  • Keywords
    biology computing; data analysis; field programmable gate arrays; graphics processing units; multiprocessing systems; network-on-chip; biology applications; computational biology; data processing; hardware accelerators; Acclerators; Field programmable gate arrays; Graphics processing units; Hardware; Multicore processing; Phylogeny; FPGA; GPU; computational biology; hardware accelerator; multicore; network-on-chip; phylogenetics; sequence analysis;
  • fLanguage
    English
  • Journal_Title
    Design & Test, IEEE
  • Publisher
    ieee
  • ISSN
    2168-2356
  • Type

    jour

  • DOI
    10.1109/MDAT.2013.2290118
  • Filename
    6657749
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=85318