• DocumentCode
    528794
  • Title

    RAPL: Memory power estimation and capping

  • Author

    David, Howard ; Gorbatov, Eugene ; Hanebutte, Ulf R. ; Khanna, Rahul ; Le, Christian

  • Author_Institution
    Intel Corporation, 2111 NE 25th Ave. Hillsboro, OR 97124, USA
  • fYear
    2010
  • fDate
    18-20 Aug. 2010
  • Firstpage
    189
  • Lastpage
    194
  • Abstract
    The drive for higher performance and energy efficiency in data-centers has influenced trends toward increased power and cooling requirements in the facilities. Since enterprise servers rarely operate at their peak capacity, efficient power capping is deemed as a critical component of modern enterprise computing environments. In this paper we propose a new power measurement and power limiting architecture for main memory. Specifically, we describe a new approach for measuring memory power and demonstrate its applicability to a novel power limiting algorithm. We implement and evaluate our approach in the modern servers and show that we achieve up to 40% lower performance impact when compared to the state-of-art baseline across the power limiting range.
  • Keywords
    Bandwidth; Heuristic algorithms; Limiting; Memory management; Power demand; Power measurement; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Low-Power Electronics and Design (ISLPED), 2010 ACM/IEEE International Symposium on
  • Conference_Location
    Austin, TX, USA
  • Print_ISBN
    978-1-4244-8588-8
  • Type

    conf

  • Filename
    5599016