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Power Estimation of a C Algorithm Based on the Functional-Level Power Analysis of a Digital Signal Processor
Author(s) -
Nathalie Julien,
Johann Laurent,
Eric Senn,
Éric Martin
Publication year - 2002
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-43674-X
DOI - 10.1007/3-540-47847-7_32
Subject(s) - power consumption , computer science , power (physics) , digital signal processor , algorithm , digital signal processing , signal (programming language) , digital signal , simple (philosophy) , signal processing , real time computing , computer hardware , physics , quantum mechanics , programming language , philosophy , epistemology
A complete methodology to estimate power consumption at the Clevel for on-the-shelf processors is introduced. It relies on the Functional-Level Power Analysis, which results in a power model of the processor that describes the consumption variations relatively to algorithmic and configuration parameters. Some parameters can be predicted directly from the C-algorithm with simple assumptions on the compilation. Maximum and minimum bounds for power consumption are obtained, together with a very accurate estimation; for the TI C6x, a maximum error of 6% against measurements is obtained for classical digital signal processing algorithms. Estimation results are summarized on a consumption map; the designer can compare the algorithm consumption, and its variations, with the application constraints.

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