DocumentCode :
668913
Title :
Power distribution network design optimization with on-die voltage-dependent leakage path
Author :
Xiang Zhang ; Yang Liu ; Coutts, Ryan ; Chung-kuan Cheng
Author_Institution :
ECE Dept., Univ. of California, San Diego, La Jolla, CA, USA
fYear :
2013
fDate :
27-30 Oct. 2013
Firstpage :
87
Lastpage :
90
Abstract :
Leakage current has become a significant source of power consumptions of CMOS circuit, as the technology node continues to shrink. Our study shows that the equivalent on-die leakage resistance monotonically decreases as the supply voltage increases and exceeds MOSFET threshold voltage. We propose a system-level power distribution network (PDN) design optimization with voltage-dependent leakage resistance considered in a standard RLC tank model. Our results show that the voltage-dependent leakage resistance can impact on the PDN noise and affect the optimal value of the circuit parameters to minimize the noise. An equivalent constant leakage resistor is proposed to replace the voltage-dependent model for quick noise prediction.
Keywords :
CMOS integrated circuits; MOSFET; circuit optimisation; integrated circuit design; integrated circuit interconnections; integrated circuit noise; leakage currents; low-power electronics; CMOS circuit; MOSFET threshold voltage; PDN noise; circuit parameters; equivalent constant leakage resistor; equivalent on-die leakage resistance; leakage current; noise minimization; on-die voltage-dependent leakage path; power consumptions; quick noise prediction; standard RLC tank model; system-level power distribution network design optimization; voltage-dependent leakage resistance; Impedance; Integrated circuit modeling; Leakage currents; Load modeling; Noise; Resistance; Resistors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Performance of Electronic Packaging and Systems (EPEPS), 2013 IEEE 22nd Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4799-0705-2
Type :
conf
DOI :
10.1109/EPEPS.2013.6703473
Filename :
6703473
Link To Document :
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