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.
Citation:
C. Brandolese, W. Fornaciari, F. Salice, D. Sciuto, "Analysis and Modeling of Energy Reducing Source Code Transformations," date, vol. 3, pp.30306, Design, Automation and Test in Europe Conference and Exhibition Designers? Forum (DATE'04), 2004