Energy optimality and variability in subthreshold design

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Energy optimality and variability in subthreshold design

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International Symposium on Low Power Electronics and Design archive
Proceedings of the 2006 international symposium on Low power electronics and design table of contents

Tegernsee, Bavaria, Germany

TUTORIAL SESSION: Embedded tutorial 3 table of contents

Pages: 363 - 365

Year of Publication: 2006

ISBN:1-59593-462-6

Authors

Scott Hanson	University of Michigan, Ann Arbor, MI
Bo Zhai	University of Michigan, Ann Arbor, MI
David Blaauw	University of Michigan, Ann Arbor, MI
Dennis Sylvester	University of Michigan, Ann Arbor, MI
Andres Bryant	IBM T.J. Watson Research Center
Xinlin Wang	IBM T.J. Watson Research Center

Sponsors

ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation

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ACM New York, NY, USA

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Downloads (6 Weeks): 8, Downloads (12 Months): 63, Citation Count: 1

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ABSTRACT

Recent progress in the development of subthreshold circuit design techniques has created the opportunity for dramatic energy reductions in many applications. However, energy efficiency comes at the price of timing and energy variability due to process variations. We explore energy optimality in the subthreshold regime, discuss variability in this region, and highlight the energy and variability characteristics of a real subthreshold design.

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	Bo Zhai , David Blaauw , Dennis Sylvester , Krisztian Flautner, Theoretical and practical limits of dynamic voltage scaling, Proceedings of the 41st annual conference on Design automation, June 07-11, 2004, San Diego, CA, USA [doi>10.1145/996566.996798]
	2	B. Zhai, et al., "A 2.60pJ/Inst Subthreshold Sensor Processor for Optimal Energy Efficiency," VLSI Circuits Symposium, 2006.
	3	B. Calhoun, A. Wang, A. Chandrakasan, "Device sizing for minimum energy operation in subthreshold circuits," CICC, 2004, pp. 95--98.
	4	Bo Zhai , Scott Hanson , David Blaauw , Dennis Sylvester, Analysis and mitigation of variability in subthreshold design, Proceedings of the 2005 international symposium on Low power electronics and design, August 08-10, 2005, San Diego, CA, USA [doi>10.1145/1077603.1077610]
	5	W. Haensch , E. J. Nowak , R. H. Dennard , P. M. Solomon , A. Bryant , O. H. Dokumaci , A. Kumar , X. Wang , J. B. Johnson , M. V. Fischetti, Silicon CMOS devices beyond scaling, IBM Journal of Research and Development, v.50 n.4/5, p.339-361, July 2006
	6	Joyce Kwong , Anantha P. Chandrakasan, Variation-driven device sizing for minimum energy sub-threshold circuits, Proceedings of the 2006 international symposium on Low power electronics and design, October 04-06, 2006, Tegernsee, Bavaria, Germany [doi>10.1145/1165573.1165578]
	7	C. Kim, H. Soeleman, K. Roy, "Ultra-Low-Power DLMS Adaptive Filter for Hearing Aid Applications," IEEE Trans on VLSI Systems 11, No. 6, pp. 1058--1067.