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Stochastic current prediction enabled frequency actuator for runtime resonance noise reduction
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Asia and South Pacific Design Automation Conference archive
Proceedings of the 2009 Asia and South Pacific Design Automation Conference table of contents
Yokohama, Japan
SESSION: Signal/power integrity and simulation table of contents
Pages 373-378  
Year of Publication: 2009
ISBN:978-1-4244-2748-2
Authors
Yiyu Shi  UCLA, Los Angeles, California
Jinjun Xiong  IBM Thomas J. Watson Research Center, Yorktown Heights, New York
Howard Chen  IBM Thomas J. Watson Research Center, Yorktown Heights, New York
Lei He  UCLA, Los Angeles, California
Sponsors
: IEEE Circuits and Systems Society
SIGDA: ACM Special Interest Group on Design Automation
IEICE ESS : Institute of Electronics, Information and Communication Engineers - Engineering Sciences Society
IPSJ SIGSLDM : Information Processing Society of Japan - SIG System LSI Design Methodology
Publisher
IEEE Press  Piscataway, NJ, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 27,   Citation Count: 0
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
K. Bathey and M. Swaminathan, "Resonance analysis and simulation in packages," in Electrical Performance of Electronic Packaging, pp. 169--172, Oct. 1995.
 
2
H. Su, S. S. Sapatnekar, and S. R. Nassif, "Optimal decoupling capacitor sizing and placement for standard-cell layout designs," IEEE Trans. on CAD, vol. 22, pp. 428--436, April 2003.
 
3
K.-H. Erhard, F. Johannes, and R. Dachauer, "Topology optimization techniques for power/ground networks in VLSI," in IEEE/ACM DATE, 1992.
4
5
 
6
 
7
J. Xu, P. Hazucha, M. Huang, P. Aseron, F. Paillet, G. Schrom, J. Tschanz, C. Zhao, V. De, T. Karnik, and G. Taylor, "On-Die Supply-Resonance Suppression Using Band-Limited Active Damping," in IEEE International Solid State Circuits Conference, pp. 286--288, 2007.
 
8
 
9
M. Ang, R. Salem, and A. Taylor, "An On-Chip Voltage Regulator Using Switched Decoupling Capacitors," in IEEE International Solid State Circuits Conference, 2000.
 
10
 
11
 
12
A. Waizman and C.-Y. Chung, "Resonant Free Power Network Design Using Extended Adaptive Voltage Positioning (EVAP) Methodology," IEEE Trans. on Advanced Packaging, 2001.
 
13
Y. Sumi and et al, "PLL frequency synthesizer with an auxiliary programmable divider," in IEEE ISCAS, pp. 532--536, Jul. 1999.
 
14
S. Khadanga, "Synchronous programmable divider design for PLL Using 0.18 um CMOS technology," in International Workshop on System-on-Chip for Real-Time Applications, 2003.
 
15
A. K. Basu, An Introduction to Stochastic Process. Alpha Science Int'l Ltd., 2003.
 
16
 
17
Collaborative Colleagues:
Yiyu Shi: colleagues
Jinjun Xiong: colleagues
Howard Chen: colleagues
Lei He: colleagues