Title :
Power optimal partitioning for dynamically reconfigurable FPGA
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Providence Univ., Taichung, Taiwan
Abstract :
To implement a circuit system on dynamically reconfigurable FPGAs (DRFPGAs), we must partition it into sub-circuits and execute each sub-circuit in order. Traditional partitioning methods focus on optimizing the number of communication buffers. In this paper, we study the partitioning problem targeting at power optimization for the DRFPGAs. We analyze the power consumption caused by the communication buffers in the partitioning. Then we transform a circuit system into the corresponding flow network and apply a flow-based algorithm to find the partitioning of optimal power consumption. Experimental results demonstrate the effectiveness of our method.
Keywords :
buffer circuits; field programmable gate arrays; optimisation; power aware computing; DRFPGA; communication buffers; dynamically reconfigurable FPGA; flow network; flow-based algorithm; power consumption; power optimal partitioning problem; power optimization; sub-circuit system; Field programmable gate arrays; Flip-flops; Integrated circuit modeling; Logic gates; Partitioning algorithms; Power demand; Table lookup; dynamically reconfigurable FPGA; power optimization; reconfigurable computing;
Conference_Titel :
Information Security and Intelligence Control (ISIC), 2012 International Conference on
Conference_Location :
Yunlin
Print_ISBN :
978-1-4673-2587-5
DOI :
10.1109/ISIC.2012.6449702