DocumentCode :
2139989
Title :
Statistical power estimation for FPGAs
Author :
Todorovich, Elias ; Boemo, Eduardo ; Angarita, Fabian ; Vails, J.
Author_Institution :
Sch. of Eng., Univ. Autonoma de Madrid, Spain
fYear :
2005
fDate :
24-26 Aug. 2005
Firstpage :
515
Lastpage :
518
Abstract :
This article presents a power estimation tool integrated with an FPGA design flow. It is able to estimate total and individual-node average power consumption for combinational blocks. The tool is based on the statistical approach, allowing the user to specify the tolerated error and confidence level of the power estimation. An important feature of this software is the short pulse filtration that leads, in other case, to overestimation. Power maps generation is implemented to help both to detect hot-spots, and perform a power optimization. These maps show the power at every physical position in the die. Several circuits have been tested in order to demonstrate the tool features and usability. The estimated values of dynamic power have been compared with physical measurements for Virtex and Virtex-E devices.
Keywords :
field programmable gate arrays; integrated circuit design; optimisation; power consumption; reconfigurable architectures; FPGA design flow; field programmable gate arrays; individual-node average power consumption; overestimation; power maps generation; power optimization; short pulse filtration; statistical power estimation; tolerated error; Circuit simulation; Circuit testing; Computational modeling; Energy consumption; Field programmable gate arrays; Filtration; Power engineering and energy; Power generation; Probability; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Field Programmable Logic and Applications, 2005. International Conference on
Print_ISBN :
0-7803-9362-7
Type :
conf
DOI :
10.1109/FPL.2005.1515774
Filename :
1515774
Link To Document :
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