This paper presents a methodology and a set of models supporting energy-driven source-to-source transformations. The most promising code transformation techniques have been isolated and studied leading to accurate analytical and/or statistical models. Experimental results, obtained for some common embedded-system processors over a set of typical benchmarks, are presented, showing the viability of the proposed approach as a support tool for embedded software design.
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