• DocumentCode
    1781428
  • Title

    Efficient Scheduling Mechanism for Performance-Heterogeneous Multi-core Processor

  • Author

    Liu Lin-Dong ; Qi De-Yu ; Chen Qiang ; Ruan Jin-Xin

  • Author_Institution
    Res. Inst. of Comput. Syst., South China Univ. of Technol., Guangzhou, China
  • fYear
    2014
  • fDate
    28-30 Nov. 2014
  • Firstpage
    342
  • Lastpage
    346
  • Abstract
    Multi-core processor architectures are increasingly being used in high-performance computing environment because heterogeneous characteristics of the processor cores can play an important role in the performance of multicore processors. In the paper, we analyze the architecture and tasks´ parallel features of performance-heterogeneous multicore processor based on DHCMP (Dynamic Heterogeneous Chip Multiprocessor). Grouping all of the basic cores into several logic cores and establish a mapping rule from basic cores to logic cores, and apply classification data mining to scheduling process of logic cores, establishing a performance-heterogeneous multicore processor scheduling model and algorithm. Experiments show that the scheduling strategies and algorithm in this paper can improve the utilization of logic cores than other algorithm.
  • Keywords
    data mining; parallel processing; pattern classification; processor scheduling; DHCMP; classification data mining; dynamic heterogeneous chip multiprocessor; heterogeneous characteristics; high-performance computing environment; logic core utilization; logic cores; mapping rule; multicore processor architectures; performance-heterogeneous multicore processor scheduling model; processor cores; scheduling mechanism; Computational modeling; Dynamic scheduling; Heuristic algorithms; Multicore processing; Processor scheduling; Basic Core; Classification Data Mining; Logic Core; Multi-core Processor; Performance-heterogeneous;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Home (ICDH), 2014 5th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4799-4285-5
  • Type

    conf

  • DOI
    10.1109/ICDH.2014.71
  • Filename
    6996786