• DocumentCode
    532960
  • Title

    A parallel approach for SVM with multi-core CPU

  • Author

    Hu, Mingsheng ; Hao, Weixu

  • Author_Institution
    Inst. of Software Sci., Zhengzhou Normal Univ., Zhengzhou, China
  • Volume
    15
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Modern multi-core CPU are predominant in improving performance of parallel applications. We describe an approach for support vector machines (SVM) that can be parallelized efficiently and scales to large problems with large training vectors. Parallel programming in .NET framework using SVM on multi-core computers are studied. Experiment results show that the serial program can only use one core of multi-core computers. Meanwhile, the parallel efficiency of the program using SVM is very high on 2-core and 4-core computers respectively.
  • Keywords
    multiprocessing systems; parallel programming; support vector machines; .NET framework; SVM; multicore CPU; parallel programming; support vector machine; Classification algorithms; Computational modeling; Educational institutions; Programming; Support vector machines; Parallel programming; SVM; multi-core;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622595
  • Filename
    5622595