• DocumentCode
    507459
  • Title

    A variation-aware preferential design approach for memory based reconfigurable computing

  • Author

    Paul, Somnath ; Mukhopadhyay, Saibal ; Bhunia, Swarup

  • Author_Institution
    Dept. of EECS, Case Western Reserve Univ., Cleveland, OH, USA
  • fYear
    2009
  • fDate
    2-5 Nov. 2009
  • Firstpage
    180
  • Lastpage
    183
  • Abstract
    Static random access memory (SRAM) arrays designed in sub-90 nm technologies are highly vulnerable to process variation induced read/write/access failures. In memory based reconfigurable computing frameworks, which use large high density memory array, such failures lead to incorrect execution of mapped applications. It causes loss in quality of service (QoS) for digital signal processing (DSP) applications. We propose a ¿preferential design¿ approach at both application mapping and circuit level, which can significantly improve QoS and yield under large parameter variations. Such a architecture/circuit co-design approach can also tolerate increased failure rate at low operating voltage, thus facilitating low-power operation. Simulation results for a common DSP application show 45% improvement in power at iso-QoS and 47% in yield for a target peak signal to noise ratio (PSNR) at 45 nm technology.
  • Keywords
    CAD; SRAM chips; digital signal processing chips; quality of service; reconfigurable architectures; SRAM; architecture-circuit codesign; digital signal processing; large high density memory array; low-power operation; memory based reconfigurable computing; peak signal to noise ratio; quality of service; static random access memory arrays; variation-aware preferential design; Circuits; Degradation; Digital signal processing; Discrete cosine transforms; Field programmable gate arrays; Logic arrays; Performance loss; Processor scheduling; Quality of service; Registers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design - Digest of Technical Papers, 2009. ICCAD 2009. IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Print_ISBN
    978-1-60558-800-1
  • Electronic_ISBN
    1092-3152
  • Type

    conf

  • Filename
    5361296