• DocumentCode
    2637433
  • Title

    FPGA Accelerator for RNA Secondary Structure Prediction

  • Author

    Díaz-Pérez, Arturo ; García-Martínez, Mario A.

  • Author_Institution
    Lab. de Tecnol. de la Inf., Cinvestav-Tamaulipas, Ciudad Victoria, Mexico
  • fYear
    2009
  • fDate
    27-29 Aug. 2009
  • Firstpage
    667
  • Lastpage
    671
  • Abstract
    RNA secondary structure prediction, well-known like "RNA-problem", is an operation of high demand of computational resources. At present, several techniques of parallel computing are used in order to obtain efficient results to solve this problem. In this work we present the FPGA implementation of the prototype of an accelerating circuit for solution of RNA-problem. The circuit computes the minimum energy that corresponds to optimal secondary structure searched for. A parallel and pipeline design is obtained giving an O(n) time complexity solution, in counterpart with the classic O(n3) algorithm for software implementations. We have used Xilinx FPGAs for implementations, and the packages ISE8.1i and ModelSim 6.1e respectively to make VHDL description and circuit verification.
  • Keywords
    biology computing; field programmable gate arrays; hardware description languages; molecular biophysics; parallel architectures; pipeline processing; FPGA accelerator; ModelSim 6.1e; O(n) time complexity solution; RNA secondary structure prediction; VHDL description; Xilinx FPGAs; circuit verification; classic O(n3) algorithm; computational resources; package ISE8.1i; parallel computing; parallel design; pipeline design; ribonucleic acid molecules; software implementations; Acceleration; Algorithm design and analysis; Circuits; Field programmable gate arrays; Parallel processing; Pipelines; Prototypes; RNA; Software algorithms; Software prototyping; FPGA; RNA-problem; accelerator circuit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital System Design, Architectures, Methods and Tools, 2009. DSD '09. 12th Euromicro Conference on
  • Conference_Location
    Patras
  • Print_ISBN
    978-0-7695-3782-5
  • Type

    conf

  • DOI
    10.1109/DSD.2009.225
  • Filename
    5350194