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Power analysis/optimization of heterogeneous SoCs weighting hardware/software components

Grant number: 05/02565-9
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): July 01, 2006
Effective date (End): October 31, 2009
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Rodolfo Jardim de Azevedo
Grantee:Felipe Vieira Klein
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil


The demand for battery-powered portable devices such as PDAs, cell phones, MP3 players and many others is growing fast. At each new generation of these products, the complexity of integrated circuits is getting higher, and also the power consumption. The methods used for estimating power currently used do not fit the industry needs, as they are located at lower levels of abstraction and their precision is much limited. This proposal presents the problem of the increasing of power consumption and its influence to the market. A brief survey in the area is also presented. The main goal of this PhD project is the creation of a methodology that enables the power analysis of heterogeneous SoCs (composed of several distinct devices). This methodology and its related models will allow a better evaluation of the impact of hardware and software components of the SoCs in power/energy, as well opening opportunities for optimization of the system as whole. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BALDASSIN, ALEXANDRO; KLEIN, FELIPE; ARAUJO, GUIDO; AZEVEDO, RODOLFO; CENTODUCATTE, PAULO. Characterizing the Energy Consumption of Software Transactional Memory. IEEE COMPUTER ARCHITECTURE LETTERS, v. 8, n. 2, p. 56-59, JUL-DEC 2009. Web of Science Citations: 3.
KLEIN, FELIPE; LEAO, ROBERTO; ARAUJO, GUIDO; SANTOS, LUIZ; AZEVEDO, RODOLFO. A Multi-Model Engine for High-Level Power Estimation Accuracy Optimization. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, v. 17, n. 5, p. 660-673, MAY 2009. Web of Science Citations: 11.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
KLEIN, Felipe Vieira. Advanced techniques for power modeling, analysis and optimization in digital systems. 2009. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Instituto de Computação.

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