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Minimizing embedded software power consumption through reduction of data memory access

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3 Author(s)
Shan Li ; Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore ; Lai, E.M.K. ; Absar, M.J.

Software applications that involve multimedia signal processing typically have to process large amounts of data. They often involve the handling of data arrays in the form of nested loops. Experiments show that for this kind of applications data transfer (memory access) operations consume much more power than data-path operations. Our objective is to reduce memory access related power consumption by reducing the number of data transfers between processor and memory, or between a higher (closer to processor) level of memory and a memory at a lower level using source program transformation. The procedure involves profiling, inlining and globed transformation. The effectiveness of this procedure is illustrated by applying it to the software for a wideband adaptive multi-rate (WB-AMR) speech decoder which can be obtained from the official website of the 3rd Generation Partnership Project (3GPP).

Published in:

Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on  (Volume:1 )

Date of Conference:

15-18 Dec. 2003