• DocumentCode
    2227717
  • Title

    Workload characterization of bioinformatics applications

  • Author

    Li, Yue ; Li, Tao ; Kahveci, Tamer ; Fortes, José

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Univ., USA
  • fYear
    2005
  • fDate
    27-29 Sept. 2005
  • Firstpage
    15
  • Lastpage
    22
  • Abstract
    The exponential growth in the amount of genomic information has spurred growing interest in large scale analysis of genetic data. Bioinformatics applications represent the increasingly important workloads. However, very few results on the behavior of these applications running on the state-of-the-art microprocessor and systems have been published. This paper proposes a suite of widely used bioinformatics applications and studies the execution characteristics of these benchmarks on a representative architecture-the Intel Pentium 4. To understand the impacts and implications of bioinformatics workloads on the microprocessor designs, we contrast the characteristics of bioinformatics workloads and the widely used SPEC 2000 integer benchmarks.
  • Keywords
    benchmark testing; biology computing; genetics; microprocessor chips; Intel Pentium 4; SPEC 2000 integer benchmark; bioinformatic application; genetic data; genomic information; microprocessor design; workload characterization; Application software; Bioinformatics; Computer architecture; Data analysis; Genetics; Genomics; Information analysis; Large-scale systems; Microprocessors; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2005. 13th IEEE International Symposium on
  • ISSN
    1526-7539
  • Print_ISBN
    0-7695-2458-3
  • Type

    conf

  • DOI
    10.1109/MASCOTS.2005.77
  • Filename
    1521114