• DocumentCode
    1814039
  • Title

    High-performance computing in biomedicine

  • Author

    Hautaniemi, Sampsa ; Laakso, M.

  • Author_Institution
    Res. Programs Unit, Univ. of Helsinki, Helsinki, Finland
  • fYear
    2013
  • fDate
    1-5 July 2013
  • Firstpage
    233
  • Lastpage
    233
  • Abstract
    Biomedicine has rapidly become a data-rich field where novel measurement tools can easily provide >1012 data points from one patient. As a typical medical research project may consist of hundreds of individuals, high-performance computing (HPC) is crucial in transforming the data into knowledge and health benefits.
  • Keywords
    biomedical measurement; medicine; parallel processing; HPC; biomedicine; data transformation; data-rich field; health benefits; high-performance computing; knowledge benefits; measurement tools; medical research project; Bioinformatics; Cancer; Current measurement; Genomics; Software; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Simulation (HPCS), 2013 International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4799-0836-3
  • Type

    conf

  • DOI
    10.1109/HPCSim.2013.6641420
  • Filename
    6641420
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1814039