• DocumentCode
    2959073
  • Title

    Switching Optically-Connected Memories in a Large-Scale System

  • Author

    Chakraborty, Abhirup ; Schenfeld, Eugen ; Silva, Dilma Da

  • fYear
    2012
  • fDate
    21-25 May 2012
  • Firstpage
    727
  • Lastpage
    738
  • Abstract
    Recent trends in processor and memory systems in large-scale computing systems reveal a new "memory wall" that prompts investigation on alternate main memory organization separating main memory from processors and arranging them in separate ensembles. In this paper, we study the feasibility of transferring data across processors by using the optical interconnection fabric that acts as a bridge between processor and memory ensembles. We propose a memory switching protocol that transfers data across processors without physically moving the data across electrical switches. Such a mechanism allows large-scale data communication across processors through transfer of a few tiny blocks of meta-data. We present detailed techniques for supporting two communication patterns prevalent in any large-scale scientific and data management applications. We present experimental results analyzing the feasibility of memory switching in a wide range of applications, and characterize applications based on the impact of the memory switching on their performance.
  • Keywords
    electronic data interchange; large-scale systems; memory protocols; storage management chips; communication patterns; data management applications; data transfer; electrical switches; large-scale computing systems; large-scale data communication; large-scale scientific management application; large-scale system; main memory organization; memory ensembles; memory switching protocol; memory systems; memory wall; meta-data; optical interconnection fabric; processor systems; switching optically-connected memory; Blades; Fabrics; Memory management; Optical imaging; Optical interconnections; Optical switches; Memory Segregation; Memory Switching; Optical Interconnection Fabric; Optically-connected Memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel & Distributed Processing Symposium (IPDPS), 2012 IEEE 26th International
  • Conference_Location
    Shanghai
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-4673-0975-2
  • Type

    conf

  • DOI
    10.1109/IPDPS.2012.71
  • Filename
    6267883