• DocumentCode
    1606981
  • Title

    VLSI design of a neural processing element for the Boltzmann machine

  • Author

    Antognetti, Paolo ; De Gloria, Alessandro ; Faraboschi, Paolo ; Olivieri, Mauro ; Taddeo, Alberto

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
  • fYear
    1992
  • Firstpage
    309
  • Lastpage
    312
  • Abstract
    The VLSI design of a neural processing element (NPE) of a massively parallel architecture for the Boltzmann machine algorithm is described. The single instruction, multiple data (SIMD) organization of the architecture and the algorithm itself require each NPE to have a large local memory and a simple datapath. This project combines reduced instruction set computer (RISC)-like datapath and a high capacity DRAM in the same silicon die with a digital technology, in order to reduce PCB costs by implementing each node of the architecture with a single ASIC
  • Keywords
    CMOS integrated circuits; VLSI; application specific integrated circuits; instruction sets; neural chips; parallel algorithms; parallel architectures; reduced instruction set computing; ASIC; Boltzmann machine; CMOS chip; RISC like-datapath; SIMD; VLSI design; datapath; high capacity DRAM; local memory; massively parallel architecture; multiple data; reduced instruction set computer; single instruction; Algorithm design and analysis; Application specific integrated circuits; Costs; Design engineering; Electronic mail; Neurons; Parallel architectures; Prototypes; Random access memory; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ASIC Conference and Exhibit, 1992., Proceedings of Fifth Annual IEEE International
  • Conference_Location
    Rochester, NY
  • Print_ISBN
    0-7803-0768-2
  • Type

    conf

  • DOI
    10.1109/ASIC.1992.270228
  • Filename
    270228