• DocumentCode
    579312
  • Title

    High-Performance Computing for Data Analytics

  • Author

    Perrin, Dimitri ; Bezbradica, Milan ; Crane, Martin ; Ruskin, Heather J. ; Duhamel, Cecilie

  • Author_Institution
    Centre for Sci. Comput. & Complex Syst. Modelling, Dublin City Univ., Dublin, Ireland
  • fYear
    2012
  • fDate
    25-27 Oct. 2012
  • Firstpage
    234
  • Lastpage
    242
  • Abstract
    One of the main challenges in data analytics is that discovering structures and patterns in complex datasets is a computer-intensive task. Recent advances in high-performance computing provide part of the solution. Multicore systems are now more affordable and more accessible. In this paper, we investigate how this can be used to develop more advanced methods for data analytics. We focus on two specific areas: model-driven analysis and data mining using optimisation techniques.
  • Keywords
    data analysis; data mining; multiprocessing systems; optimisation; computer-intensive task; data analytics; data mining using optimisation techniques; high-performance computing; model-driven analysis; multicore systems; Analytical models; Coatings; Computational modeling; Data models; Drugs; Polymers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Simulation and Real Time Applications (DS-RT), 2012 IEEE/ACM 16th International Symposium on
  • Conference_Location
    Dublin
  • ISSN
    1550-6525
  • Print_ISBN
    978-1-4673-2954-5
  • Type

    conf

  • DOI
    10.1109/DS-RT.2012.41
  • Filename
    6365069