• DocumentCode
    3695878
  • Title

    Computing in 3D

  • Author

    Paul D. Franzon;Eric Rotenberg;W. Rhett Davis;James Tuck;W. Rhett Davis;Huiyang Zhou;Joshua Schabel;Zhenquian Zhang;J. Brandon Dwiel;Elliott Forbes;Joonmoo Huh;Marcus Tshibangu;Steve Lipa

  • Author_Institution
    Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA
  • fYear
    2015
  • Abstract
    3DIC technology refers to stacking and interconnecting chips and substrates (“interposers”) with Through Silicon Vias (TSVs). Industry is gearing up for widespread introduction of this technology with the 22 nm node. We have been pursuing a range of approaches to enable low power computing. As well as 3DIC these include heterogeneous computing, powered optimized SIMD units, optimized memory hierarchies, and MPI with post-silicon customized interconnect. Heterogeneous computing refers to the concept of building a mix of CPUs and memories that in turn enable in-situ tuning of the compute load to the compute resources. We introduce the concept of Fast Thread Migration using 3DIC technologies. We present the design of a power optimized SIMD unit in which over half of the power is employed in the FP units. A parallel computer is built using an MPI paradigm. Codes are analyzed so that the MPI interconnect can be power optimized post-silicon. Emerging 3D memories have potential to be employed as Level 2 and Level 3 caches, and this is explored using the Tezzaron 3D memory. As scaling and power optimization occurs, the main memory increasingly dominates the power consumption. Possible extensions to Cortical Processing are discussed.
  • Keywords
    "Three-dimensional displays","Switches","Integrated circuit interconnections","Computers","Random access memory","Conferences","Fabrics"
  • Publisher
    ieee
  • Conference_Titel
    3D Systems Integration Conference (3DIC), 2015 International
  • Type

    conf

  • DOI
    10.1109/3DIC.2015.7334571
  • Filename
    7334571