• DocumentCode
    3385907
  • Title

    Hardware accelerators for biocomputing: A survey

  • Author

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

  • Author_Institution
    Sch. Of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    3789
  • Lastpage
    3792
  • Abstract
    Computing research has become a vital cog in the machinery required to drive biological discovery. Computing has made possible significant achievements over the last decade, especially in the genomics sector. An emerging area is the investigation of hardware accelerators for speeding up the massive scale of computation needed in large-scale biocomputing applications. Various hardware platforms, such as FPGA, Graphics Processing Unit (GPU), the Cell Broadband Engine (CBE) and multi-core processors are being explored. In this paper, we present a survey of hardware accelerators for biocomputing by choosing a representative set of each.
  • Keywords
    biocomputing; bioinformatics; biology computing; field programmable gate arrays; genomics; microprocessor chips; FPGA; GPU; biocomputing; biological discovery; cell broadband engine; genomic sector; graphic processing unit; hardware accelerator; multicore processor; Bioinformatics; Biology computing; Drives; Engines; Field programmable gate arrays; Genomics; Graphics; Hardware; Large-scale systems; Machinery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537736
  • Filename
    5537736