• DocumentCode
    1570361
  • Title

    On-chip power network optimization with decoupling capacitors and controlled-ESRs

  • Author

    Zhang, Wanping ; Zhang, Ling ; Shayan, Amirali ; Yu, Wenjian ; Hu, Xiang ; Zhu, Zhi ; Engin, Ege ; Cheng, Chung-Kuan

  • Author_Institution
    Qualcomm Inc., San Diego, CA, USA
  • fYear
    2010
  • Firstpage
    119
  • Lastpage
    124
  • Abstract
    In this paper, we propose an efficient approach to minimize the noise on power networks via the allocation of decoupling capacitors (decap) and controlled equivalent series resistors (ESR). The controlled-ESR is introduced to reduce the on-chip power voltage fluctuation, including both voltage drop and overshoot. We formulate an optimization problem of noise minimization with the constraint of decap budget. A revised sensitivity calculation method is derived to consider both voltage drop and overshoot. The sequential quadratic programming (SQP) algorithm is adopted to solve the optimization problem where the revised sensitivity is regarded as the gradient. Experimental results show that considering voltage drop without overshoot leads to underestimating noise by 4.8%. We also demonstrate that the controlled-ESR is able to reduce the noise by 25% with the same decap budget.
  • Keywords
    capacitors; circuit optimisation; electric potential; integrated circuit noise; power integrated circuits; quadratic programming; resistors; SQP algorithm; controlled-ESR; decap budget; decoupling capacitor; equivalent series resistor; noise minimization; on-chip power network optimization; on-chip power voltage fluctuation; overshoot; power network noise; sensitivity calculation; sequential quadratic programming; voltage drop; Capacitors; Circuit noise; Computational complexity; Constraint optimization; Network-on-a-chip; Noise reduction; Power supplies; Quadratic programming; Resistors; Voltage fluctuations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (ASP-DAC), 2010 15th Asia and South Pacific
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-5765-6
  • Electronic_ISBN
    978-1-4244-5767-0
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2010.5419910
  • Filename
    5419910