• DocumentCode
    2545815
  • Title

    Leveraging multi-core CPUs in the context of demand planning

  • Author

    Tinnefeld, Christian ; Mueller, Stephan H. ; Krueger, Jens ; Grund, Martin ; Zeier, Alexander

  • Author_Institution
    Hasso-Plattner-Inst., Univ. of Potsdam, Potsdam, Germany
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    2007
  • Lastpage
    2011
  • Abstract
    Over the last couple of years a paradigm shift in CPU development has been happening: away from increasing the clock rate towards increasing the numbers of cores per CPU. In order to leverage the resulting new architectures, nowadays business applications have to be rewritten or at least adapted. This paper describes the most characteristic operations in the context of demand planning which is a crucial part of supply chain management. Furthermore, it presents different strategies how those operations can be distributed onto several cores. The different strategies were prototypically implemented and measured on different systems (including Intel Core and Nehalem Microarchitecture) in order to determine their efficiency. The paper concludes with a comparison of the different strategies, identifies the most efficient one, and describes the potential performance gain in demand planning by leveraging multi-core CPUs.
  • Keywords
    commerce; multiprocessing systems; supply chain management; CPU development; Intel Core; Nehalem microarchitecture; business application; demand planning; multicore CPU; paradigm shift; supply chain management; Data models; Databases; Marketing and sales; Process planning; Production planning; Prototypes; Safety; Strategic planning; Supply chain management; Uncertainty; Demand Planning; Intel Threading Building Blocks; Multi-Core; Supply Chain Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344262
  • Filename
    5344262