• DocumentCode
    615254
  • Title

    Performance analysis of current parallel programming models for many-core systems

  • Author

    Yangjie Cao ; Baodong Wu ; Yongcai Tao ; Lei Shi

  • Author_Institution
    Sch. of Software Technol., Zhengzhou Univ., Zhengzhou, China
  • fYear
    2013
  • fDate
    26-28 April 2013
  • Firstpage
    132
  • Lastpage
    135
  • Abstract
    Recent developments in microprocessor design show a clear trend towards multi-core and many-core architectures. Nowadays, processors consisting of dozens of general-purpose cores are already available in the market, and with the rapid development of semiconductor technology and increasing computing demand, it will be very common to have a processor consisting of hundreds or even thousands of cores in the near future. This kind of processors is commonly referred as many-core processors. In the many-core processor era, however, exploiting all the advantages offered by these processors will not be trivial. In this paper, we focus on studying and analyzing several typical parallel programming models for many-core systems, and summarize the common performance-optimized problems faced by current parallel programming models.
  • Keywords
    multiprocessing systems; parallel programming; performance evaluation; general-purpose core; many-core architecture; many-core processor; many-core systems; microprocessor design; multicore architecture; parallel programming model; performance analysis; performance-optimized problem; semiconductor technology; Benchmark testing; Computational modeling; Computers; Hardware; Heating; Jacobian matrices; Many-core processor; Parallel programming model; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2013 8th International Conference on
  • Conference_Location
    Colombo
  • Print_ISBN
    978-1-4673-4464-7
  • Type

    conf

  • DOI
    10.1109/ICCSE.2013.6553897
  • Filename
    6553897