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
Link To Document :
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