• DocumentCode
    619572
  • Title

    Time-domain segmentation based massively parallel simulation for ADCs

  • Author

    Zuochang Ye ; Bichen Wu ; Song Han ; Yang Li

  • fYear
    2013
  • fDate
    May 29 2013-June 7 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The great availability of massively parallel computing platforms gives rise a question to the EDA industry-how can this be really helping the productivity of circuit designs. Scalability of traditional parallel methods have shown to be limited as the computational resources keep increasing. In this paper we propose a time-domain segmentation method for massively parallel transistor-level simulation for short-memory circuits. SNDR simulation for ADCs is selected as the application as ADCs are typical short-memory circuits and the SNDR simulation is very time consuming. Experiments with realistic Flash and SAR ADCs demonstrate 64x-78x speed-ups with 100 CPU cores. With minor, yet important modifications, the proposed method can even be applied to simulation of Σ-Δ modulator, which does not satisfy the short-memory condition due to the presence of integrator, and 52x speed-up is observed with 100 CPU cores. The implementation of the proposed method is extremely simple and no modification to simulator is needed.
  • Keywords
    analogue-digital conversion; integrated circuit design; modulators; multiprocessing systems; parallel architectures; parallel memories; productivity; time-domain analysis; Σ-Δ modulator simulation; CPU cores; EDA industry; Flash; SAR ADC; SNDR simulation; circuit design productivity; computational resources; integrator; massively parallel computing platforms; parallel methods; short-memory circuits; time-domain segmentation-based massively parallel simulation; Central Processing Unit; Circuit simulation; Clocks; Computational modeling; Integrated circuit modeling; Modulation; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2013 50th ACM/EDAC/IEEE
  • Conference_Location
    Austin, TX
  • ISSN
    0738-100X
  • Type

    conf

  • Filename
    6560732