DocumentCode
3416377
Title
Genetic algorithm-based multiple voltages assignment considering the power network complexity and level shifters
Author
Du Shimin ; Xia Yinshui ; Yang Runping ; Yang Xiangsheng
Author_Institution
Coll. of Sci. & Technol., Ningbo Univ., Ningbo, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
652
Lastpage
655
Abstract
Power consumption has become one of crucial challenges for modern SoC design. Multiple Supply Voltages (MSV) technique is an effective way to reduce the SoC power consumption. In this paper, we apply the MSV design method to reduce power consumption during post-floorplanning. First, an improved method to model the power supply network complexity is proposed, then a cost function including power consumption, power network complexity and the number of level shifters is proposed and genetic algorithm is exploited to assign the most appropriate supply voltage to each module. Experimental results show that our proposed algorithm can effectively reduce the chip total power consumption while the overhead of MSV design is controlled at a lower level.
Keywords
genetic algorithms; integrated circuit layout; power supply circuits; system-on-chip; cost function; genetic algorithm; level shifters; modern SoC design; multiple supply voltages; multiple voltages assignment; post-floorplanning; power consumption; power network complexity; power supply network complexity; Complexity theory; Design methodology; Genetic algorithm; Level shifters; Multiple supply voltages; Power network complexity; power consumption;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6308938
Filename
6308938
Link To Document