Abstract
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 commonembedded-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.
Carlo Brandolese
Assistant Professor
Carlo Brandolese is a researcher at the Department of Electronics and Information of the Politecnico di Milano and a consultant researcher at Cefriel Research Centre. His research interests are focused on design and low-power methodologies for embedded systems.
William Fornaciari
Associate Professor
William Fornaciari has published six books and over 200 papers, earning five best paper awards, an IEEE certification, and three international patents on low power design. Since 1997, he has participated in 18 EU-funded projects. His research focuses on multi/many-core architectures, NoC, low power design, and more.