• DocumentCode
    3285175
  • Title

    DNA and Protein Sequence Alignment with High Performance Reconfigurable Systems

  • Author

    Abouellail, M. ; El-Araby, Esam ; Taker, M. ; El-Ghazawi, Tarek ; Newby, G.B.

  • Author_Institution
    George Washington Univ., Washington
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    334
  • Lastpage
    341
  • Abstract
    Biological sequence alignment is an extremely important task in the field of computational biology. This paper presents an FPGA based solution which exploits the multiple granularities of hardware parallelism available in a high- performance reconfigurable computer system. Thus, multiple cores are implemented per chip and system level parallelism is achieved via message passing. The design was developed in VHDL, with the message passing interface (MPI) providing for system level parallelism and implemented on both the Cray XD1 and SRC systems. The results will show order of magnitude speed up when compared with modern microprocessors. The study is also used to provide some insight into the architectural issues associated with modern high-performance reconfigurable computers.
  • Keywords
    biology computing; field programmable gate arrays; message passing; reconfigurable architectures; DNA sequence alignment; FPGA based solution; VHDL; biological sequence alignment; computational biology; hardware parallelism; high performance reconfigurable systems; high-performance reconfigurable computer system; message passing interface; protein sequence alignment; Biology computing; Computational biology; Concurrent computing; DNA; Field programmable gate arrays; Hardware; Message passing; Parallel processing; Protein sequence; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    978-0-7695-2866-3
  • Type

    conf

  • DOI
    10.1109/AHS.2007.45
  • Filename
    4291939