• DocumentCode
    3454997
  • Title

    Optimal adiabatic scaling and the processor-in-memory-and-storage architecture (OAS+PIMS)

  • Author

    DeBenedictis, Erik P. ; Cook, Jeanine E. ; Hoemmen, Mark F. ; Metodi, Tzevetan S.

  • Author_Institution
    Center for Comput. Res., Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    2015
  • fDate
    8-10 July 2015
  • Firstpage
    69
  • Lastpage
    74
  • Abstract
    We discuss a new approach to computing that retains the possibility of exponential growth while making substantial use of the existing technology. The exponential improvement path of Moore´s Law has been the driver behind the computing approach of Turing, von Neumann, and FORTRAN-like languages. Performance growth is slowing at the system level, even though further exponential growth should be possible. We propose two technology shifts as a remedy, the first being the formulation of a scaling rule for scaling into the third dimension. This involves use of circuit-level energy efficiency increases using adiabatic circuits to avoid overheating. However, this scaling rule is incompatible with the von Neumann architecture. The second technology shift is a computer architecture and programming change to an extremely aggressive form of Processor-In-Memory (PIM) architecture, which we call Processor-In-Memory-and-Storage (PIMS). Theoretical analysis shows that the PIMS architecture is compatible with the 3D scaling rule, suggesting both immediate benefit and a long-term improvement path.
  • Keywords
    integrated memory circuits; logic design; microprocessor chips; FORTRAN-like languages; Moore´s Law; OAS; PIMS; Turing; adiabatic circuits; circuit-level energy efficiency; computer architecture; optimal adiabatic scaling; processor-in-memory-and-storage architecture; von Neumann architecture; Decision support systems; Hafnium compounds; Nanoscale devices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nanoscale Architectures (NANOARCH), 2015 IEEE/ACM International Symposium on
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NANOARCH.2015.7180589
  • Filename
    7180589