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
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;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6308938