DocumentCode
2074117
Title
Optimization of overdrive signoff
Author
Tuck-Boon Chan ; Kahng, Andrew ; Jiajia Li ; Nath, Siddhartha
Author_Institution
ECE Depts., UC San Diego, San Diego, CA, USA
fYear
2013
fDate
22-25 Jan. 2013
Firstpage
344
Lastpage
349
Abstract
In modern SOC implementations, multi-mode design is commonly used to achieve better circuit performance and power across voltage-scaling, “turbo” and other operating modes. Although there are many tools for multi-mode circuit implementation, to our knowledge there is no available systematic analysis or methodology for the selection of associated signoff modes. We observe that the selection of signoff modes has significant impact on circuit area, power and performance. For example, incorrect choice of signoff voltages for required overdrive frequencies can result in a netlist with 15% suboptimality in power or 21% in area. In this paper, we propose a concept of mode dominance which can be used as a guideline for signoff mode selection. Further, we also propose efficient circuit implementation flows to optimize the selection of signoff modes within several distinct use cases. Our results show that our proposed methodology provides 5-7% improvement in performance compared to the traditional “signoff and scale” method. The signoff modes determined by our methods result in only 0.6% overhead in performance and 8% overhead in power after implementation, compared to the optimal signoff modes.
Keywords
optimisation; power aware computing; system-on-chip; SOC implementations; circuit performance; multimode circuit implementation; optimization; overdrive signoff; power across voltage-scaling; Approximation methods; Optimization; Power demand; Search problems; Threshold voltage; Timing; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference (ASP-DAC), 2013 18th Asia and South Pacific
Conference_Location
Yokohama
ISSN
2153-6961
Print_ISBN
978-1-4673-3029-9
Type
conf
DOI
10.1109/ASPDAC.2013.6509619
Filename
6509619
Link To Document