• DocumentCode
    2193465
  • Title

    An efficient implementation of PSRS for multi-core systems

  • Author

    Songsong, He ; Naijie, Gu ; Yuping, Weng ; Lanfang, Ning

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2011
  • fDate
    9-11 Sept. 2011
  • Firstpage
    136
  • Lastpage
    139
  • Abstract
    Multi-core sorting is one of the research focuses in the field of parallel algorithms. It is of great significance to improve multi-core systems´ performance and promote its appliance. PSRS is a general multi-core sorting algorithm with the disadvantages of low portability and poor performance without the architecture characteristics. This paper presents an optimized method combined architecture features of multi-core systems with optimization techniques commonly used in sorting. It adopts the middle element by binary search, loser tree and CPU affinity setting to solve the problems of the fastest location in multi position binary search and the binding of multi-merge and process. Some experiment results show that the improved PSRS has good versatility with more than 2.69 speedup in three 4-core systems.
  • Keywords
    multiprocessing systems; optimisation; parallel algorithms; sampling methods; sorting; tree searching; CPU affinity; PSRS implementation; loser tree; multicore sorting algorithm; multimerge process; multiposition binary search; optimization technique; parallel algorithm; Algorithm design and analysis; Arrays; Graphics processing unit; Hardware; Parallel algorithms; Sorting; CPU affinity; PSRS(parallel sorting by regular sampling); loop unrolling; loser tree; multi-binary search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Control (ICECC), 2011 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4577-0320-1
  • Type

    conf

  • DOI
    10.1109/ICECC.2011.6067636
  • Filename
    6067636