• DocumentCode
    726338
  • Title

    Domain Wall Memory based Digital Signal processors for area and energy-efficiency

  • Author

    Jinil Chung ; Ramclam, Kenneth ; Jongsun Park ; Ghosh, Swaroop

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In many Digital Signal Processing (DSP) applications such as Viterbi decoder and Fast Fourier Transform (FFT), Static Random Access Memory (SRAM) based embedded memory consumes significant portion of area and power. These DSP units are dominated by sequential memory access where SRAM-based memory is inefficient in terms of area and power. We propose spintronic Domain Wall Memory (DWM) based embedded memories for DSP building blocks e.g., survivor-path memories in Viterbi decoder and First-In-First-Out (FIFO) register files in FFT processor that exploit the unique serial access mechanism, non-volatility and small footprint of the memory for area and power saving. Simulations using 65nm technology show that the DWM based Viterbi decoder achieves 66.4 % area and 59.6 % power savings over the conventional SRAM-based implementation. For 8K point FFT processor, the DWM based design shows 60.6 % area and 60.3 % power savings.
  • Keywords
    SRAM chips; Viterbi decoding; digital signal processing chips; embedded systems; energy conservation; fast Fourier transforms; storage management chips; DSP applications; DSP building blocks; DWM; FFT; SRAM-based memory; Viterbi decoder; digital signal processors; embedded memories; embedded memory; energy-efficiency; fast Fourier transform; spintronic domain wall memory; static random access memory; Computer architecture; Decoding; Digital signal processing; Magnetic tunneling; Random access memory; Registers; Viterbi algorithm; Digital Signal Processor; Domain Wall Memory; Embedded Memory; STT-MRAM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2015 52nd ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1145/2744769.2744825
  • Filename
    7167248