• DocumentCode
    727289
  • Title

    Energy-efficient and high throughput sparse distributed memory architecture

  • Author

    Mingu Kang ; Kim, Eric P. ; Min-Sun Keel ; Shanbhag, Naresh R.

  • Author_Institution
    Dept. Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    2505
  • Lastpage
    2508
  • Abstract
    This paper presents an energy-efficient VLSI implementation of Sparse Distributed Memory (SDM). High throughput and energy-efficient Hamming distance-based address decoder (CM-DEC) is proposed by employing compute memory [1], where computation is deeply embedded into a memory (SRAM). Hierarchical binary decision (HBD) is also proposed to enhance area- and energy-efficiency of read operation by minimizing data transfer. The SDM is employed as an auto-associative memory with four read iterations and 16×16 binary noisy input image with input error rates of 15%, 25%, and 30%. The proposed SDM achieves 39× smaller energy delay product with 14.5× and 2.7× reduced delay and energy, respectively as compared to conventional digital implementation of SDM in 45 nm SOI CMOS process with output error rate degradation less than 0.4%.
  • Keywords
    CMOS memory circuits; SRAM chips; VLSI; binary decision diagrams; decoding; distributed memory systems; energy conservation; iterative methods; logic design; low-power electronics; silicon-on-insulator; synchronisation; CM-DEC; HBD; Hamming distance-based address decoder; SDM; SOI CMOS process; SRAM; VLSI; area-efficiency; autoassociative memory; binary noisy input image; data transfer; energy delay product; energy-efficiency; error rate degradation; hierarchical binary decision; read iterations; silicon-on-insulator; size 45 nm; sparse distributed memory architecture; very large scale integration; Arrays; Decoding; Error analysis; Radiation detectors; Random access memory; Throughput; Associative memory; Compute memory; Machine learning; Pattern recognition; Sparse Distributed Memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7169194
  • Filename
    7169194