DocumentCode :
2430865
Title :
High-Level Power Estimation Model for SOC with FPGA Prototyping
Author :
Wang, Lijia ; Wang, Xin´an ; Wang, Teng ; Yang, Qihua
Author_Institution :
Key Lab. of Integrated Microsyst. Sci. Eng. & Applic., Peking Univ., Shenzhen, China
fYear :
2012
fDate :
3-5 Nov. 2012
Firstpage :
491
Lastpage :
495
Abstract :
Power consumption reduction has become a first-order requirement for modern IC design, and techniques of high level power estimation are urgently in need for the sake of achieving maximal power reduction with minimal cost by optimizing the design early in the design process. This paper presents a high level power estimation model for system-on-chip (SOC) architectures on FPGA. Working with a system-level SOC synthesis framework, the proposed model takes primary power data as foundation and power estimation is conducted with regard to major event signatures such as bus and memory read/write. Besides, the anomalistic change of LUT numbers in the hardware implementation process is then taken into account, which allows more accurate and efficient power estimation providing invaluable directions for further optimization process. With the proposed model, SOC architectures are designed, and power estimation results of the model are compared with the results from real measurements on a Xilinx Virtex-5 FPGA board.
Keywords :
field programmable gate arrays; logic design; network synthesis; power consumption; system-on-chip; IC design; SOC; Xilinx Virtex-5 FPGA board; anomalistic change; high-level power estimation model; power consumption reduction; system-on-chip; Computational modeling; Estimation; Field programmable gate arrays; Integrated circuit modeling; Power demand; System-on-a-chip; Table lookup; FPGA; High level Power Estimation; SoC; event signature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
Type :
conf
DOI :
10.1109/CICN.2012.124
Filename :
6375163
Link To Document :
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