DocumentCode :
2925772
Title :
Stochastic current prediction enabled frequency actuator for runtime resonance noise reduction.
Author :
Shi, Yiyu ; Xiong, Jinjun ; Chen, Howard ; He, Lei
Author_Institution :
Electr. Eng. Dept., UCLA, Los Angeles, CA
fYear :
2009
fDate :
19-22 Jan. 2009
Firstpage :
373
Lastpage :
378
Abstract :
Power delivery network (PDN) is a distributed RLC network with its dominant resonance frequency in the low-to-middle frequency range. Though high-performance chips´ working frequencies are much higher than this resonance frequency in general, chip runtime loading frequency is not. When a chip executes a chunk of instructions repeatedly, the induced current load may have harmonic components close to this resonance frequency, causing excessive power integrity degradation. Existing PDN design solutions are, however, mainly targeted at reducing high-frequency noise and not effective to suppress such resonance noise. In this work, we propose a novel approach to proactively suppress this type of noise. A method based on a high dimension generalized Markov process is developed to predict current load variation. Based on such prediction, a clock frequency actuator design is proposed to proactively select an optimal clock frequency to suppress the resonance. To the best of our knowledge, this is the first in-depth study on proactively reducing runtime instruction execution induced PDN resonance noise.
Keywords :
Markov processes; RLC circuits; circuit resonance; network synthesis; Markov process; distributed RLC network; power delivery network; resonance frequency; runtime resonance noise reduction; stochastic current prediction enabled frequency actuator; Actuators; Clocks; Degradation; Load management; Markov processes; Noise reduction; Power system harmonics; Resonant frequency; Runtime; Stochastic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2009. ASP-DAC 2009. Asia and South Pacific
Conference_Location :
Yokohama
Print_ISBN :
978-1-4244-2748-2
Electronic_ISBN :
978-1-4244-2749-9
Type :
conf
DOI :
10.1109/ASPDAC.2009.4796509
Filename :
4796509
Link To Document :
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