• DocumentCode
    2000885
  • Title

    Exploiting Content Similarity to Improve Memory Performance in Large-Scale High-Performance Computing Systems

  • Author

    Levy, Scott

  • Author_Institution
    Dept. of Comput. Sci., Univ. of New Mexico, Albuquerque, NM, USA
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    2258
  • Lastpage
    2261
  • Abstract
    As we consider building the next generation of extreme-scale systems, many of the biggest challenges are related to memory characteristics. In particular, overcoming challenges related to resilience and memory bandwidth will require innovative strategies for improving the performance of main memory. In this paper, we propose to exploit memory content similarity to improve memory performance. We begin by presenting several novel strategies that leverage memory content similarity to improve system resilience and effective memory bandwidth. Additionally, we seek to understand the source of similarity in the memory of HPC applications.
  • Keywords
    DRAM chips; large-scale systems; parallel processing; performance evaluation; storage management; HPC applications; extreme-memory characteristics; extreme-scale systems; innovative strategies; large-scale high-performance computing systems; memory bandwidth; memory content similarity; memory performance improvement; system resilience; Bandwidth; Error correction codes; Laboratories; Linux; Memory management; Program processors; Random access memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-0-7695-4979-8
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2013.75
  • Filename
    6651144