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Sizing and placement of charge recycling transistors in MTCMOS circuits
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Source International Conference on Computer Aided Design archive
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design table of contents
San Jose, California
SESSION: Leakage power reduction table of contents
Pages 791-796  
Year of Publication: 2007
ISBN ~ ISSN:1092-3152 , 1-4244-1382-6
Authors
Ehsan Pakbaznia  University of Southern California, Los Angeles
Farzan Fallah  Fujitsu Labs of America, Sunnyvale
Massoud Pedram  University of Southern California, Los Angeles
Sponsors
: IEEE CASS/CANDE
SIGDA: ACM Special Interest Group on Design Automation
IEEE-CS\DATC : IEEE Computer Society
CEDA : Council on Electronic Design Automation
Publisher
IEEE Press  Piscataway, NJ, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 44,   Citation Count: 0
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ABSTRACT

A downside of using Multi-Threshold CMOS (MTCMOS) technique for leakage reduction is the energy consumption during transitions between sleep and active modes. Previously, a charge recycling (CR) MTCMOS architecture was proposed to reduce the large amount of energy consumption that occurs during the mode transitions in power-gated circuits. Considering the RC parasitics of the virtual ground and VDD lines, proper sizing and placement of charge-recycling transistors is key to achieving the maximum power saving. In this paper, we show that the sizing and placement problems of charge-recycling transistors in CR-MTCMOS can be formulated as a linear programming problem, and hence, can be efficiently solved using standard mathematical programming packages. The proposed sizing and placement techniques allow us to employ the CR-MTCMOS solution in large row-based standard cell layouts while achieving nearly the full potential of this power-gating architecture, i.e., we achieve 44% saving in switching energy due to the mode transition in CR-MTCMOS compared to standard MTCMOS.


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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Collaborative Colleagues:
Ehsan Pakbaznia: colleagues
Farzan Fallah: colleagues
Massoud Pedram: colleagues