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A novel synthesis approach for active leakage power reduction using dynamic supply gating
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 42nd annual Design Automation Conference table of contents
Anaheim, California, USA
SESSION: Advances in synthesis table of contents
Pages: 479 - 484  
Year of Publication: 2005
ISBN:1-59593-058-2
Authors
Swarup Bhunia  Purdue University, West Lafayette, IN
Nilanjan Banerjee  Purdue University, West Lafayette, IN
Qikai Chen  Purdue University, West Lafayette, IN
Hamid Mahmoodi  Purdue University, West Lafayette, IN
Kaushik Roy  Purdue University, West Lafayette, IN
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 46,   Citation Count: 8
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ABSTRACT

Due to exponential increase in subthreshold leakage with technology scaling and temperature increase, leakage power is becoming a major fraction of total power in the active mode. We present a novel low-cost design methodology with associated synthesis flow for reducing both switching and active leakage power using dynamic supply gating. A logic synthesis approach based on Shannon expansion is proposed that dynamically applies supply gating to idle parts of general logic circuits even when they are performing useful computation. Experimental results on a set of MCNC benchmark circuits in a predictive 70nm process exhibits improvements of 15% to 88% in total active power compared to the results obtained by a conventional optimization flow.


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.

 
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S. Mukhopadhyay et al., "Modeling and estimation of failure probability due to parameter variations in nano-scale SRAMs for yield enhancement," Symp. on VLSI Circuits, pp. 12--14, 2003.
 
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R. Krishnarnurthy et al., "High-performance and low-power challenges for sub-70 nm microprocessor circuits," CICC, pp. 12--15, May 2002.
 
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J.W. Tschanz et al. "Dynamic sleep transistor and body bias for active leakage power control of microprocessors," IEEE JSSC, vol. 38, pp. 1838--1845, 2003.
 
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Predictive Technology Model, http://www.device.eecs.berkeley.edu/
 
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SIS, University of California at Berkeley.

CITED BY  8

Collaborative Colleagues:
Swarup Bhunia: colleagues
Nilanjan Banerjee: colleagues
Qikai Chen: colleagues
Hamid Mahmoodi: colleagues
Kaushik Roy: colleagues