• DocumentCode
    157816
  • Title

    3D stacking of high-performance processors

  • Author

    Emma, Philip ; Buyuktosunoglu, Alper ; Healy, Michael ; Kailas, Krishnan ; Puente, Valentin ; Yu, Rong ; Hartstein, Allan ; Bose, Pradip ; Moreno, J.

  • Author_Institution
    IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2014
  • fDate
    15-19 Feb. 2014
  • Firstpage
    500
  • Lastpage
    511
  • Abstract
    In most 3D work to date, people have looked at two situations: 1) a case in which power density is not a problem, and the parts of a processor and/or entire processors can be stacked atop each other, and 2) a case in which power density is limited, and storage is stacked atop processors. In this paper, we consider the case in which power density is a limitation, yet we stack processors atop processors. We also will discuss some of the physical limitations today that render many of the good ideas presented in other work impractical, and what would be required in the technology to make them feasible. In the high-performance regime, circuits are not designed to be “power efficient;” they´re designed to be fast. In power-efficient design, the speed and power of a processor should be nearly proportional. In the high-performance regime, the frequency is (ever progressingly) sublinear in power. Thus, when the power density is constrained - as it is in high-performance machines, there may be opportunities to selectively exploit parallelism in workloads by running processor-on-processor systems at the same power, yet at much greater than half speed.
  • Keywords
    microprocessor chips; parallel processing; 3D stacking; high-performance machines; high-performance processors; high-performance regime; parallelism; power density; power-efficient design; processor power; processor speed; processor-on-processor systems; storage; Density measurement; Power system measurements; Program processors; Stacking; Three-dimensional displays; Throughput; Wiring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computer Architecture (HPCA), 2014 IEEE 20th International Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/HPCA.2014.6835959
  • Filename
    6835959