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Redu??o do consumo energ?tico de aplica??es paralelas em arquiteturas multi-core

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Previous issue date: 2016-07-13 / O per?odo que durou do surgimento dos microprocessadores at? o in?cio deste s?culo ficou
marcado pela expans?o geom?trica da frequ?ncia de opera??o desses dispositivos. Se por
um lado isso proporcionou aumentos cont?nuos do desempenho, tamb?m foi respons?vel
por um crescimento problem?tico do aquecimento e do consumo de energia. No sentido de
atenuar esses problemas, os processadores multi-core passaram a substituir extensivamente
os processadores single-core, oferecendo uma alternativa vi?vel para aumentar o desempenho
sem o aumento da frequ?ncia. Como uma das formas de se mapear o consumo de
energia, apresentamos o desenvolvimento de dois conjuntos de modelos matem?ticos para
a representa??o da pot?ncia el?trica dissipada nos processadores. De acordo com considera??es
feitas em rela??o a suas parcelas est?tica e din?mica, estabelecemos a pot?ncia
total como vari?vel dependente da frequ?ncia de opera??o dos respectivos processadores
analisados. Demonstramos, a partir desses modelos matem?ticos, que o consumo relativo
de energia dos processadores pode ser associado a medidas de desempenho empregadas em
processamento paralelo, como speedup e efici?ncia. Tamb?m utilizamos os modelos para monitorar
a influ?ncia de diversos fatores na redu??o do consumo de energia nos processadores
multi-core, tais como o percentual da por??o paralela do c?digo, a quantidade de n?cleos a
ser empregado de cada vez, a frequ?ncia de trabalho e o pr?prio speedup. Os resultados
das an?lises, em simula??es e em hardware, confirmam as previs?es te?ricas e despertam a
possibilidade de melhorar o desempenho energ?tico dos processadores multi-core, sobretudo
nas condi??es em que os fatores de influ?ncia podem ser flexibilizados. / The period that lasted from the advent of microprocessors until early this century was
marked by the geometric expansion of their operating frequency. If on one hand it
provided continuous performance increases, on the other hand it was also responsible
for a problematic growth in heating and energy consumption. In attempt to mitigate
these problems, multi-core processors have been used extensively in replacement for singlecore
processors, offering a viable alternative to increase performance without increasing
frequency. As a way of mapping energy consumption, we present the development of two
sets of mathematical models for the representation of the electrical power dissipated in
the processors. According to considerations we made in relation to static and dynamic
parts of the power, we established an equation for the total power as a function of the
operating frequency of the respective analyzed processors. We demonstrate, based on these
mathematical models, that the relative energy consumption of processors can be related to
parallel processing performance measures, such as speedup and efficiency. We also use the
models to monitor the influence of several factors on the reduction of energy consumption
in multi-core processors, such as the percentage of the parallel portion of the code, the
number of cores to be used each time, the working frequency and speedup itself. Results of
the analyzes confirm the theoretical predictions and alert to the possibility of improving
the energy performance of multi-core processors, especially in conditions in which the
factors of influence can be made flexible.

Identiferoai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/21608
Date13 July 2016
CreatorsBarros, Carlos Avelino de
Contributors82838607472, http://lattes.cnpq.br/9892239670106361, Belfort, Diomadson Rodrigues, 81292724315, http://lattes.cnpq.br/2241184480091242, Sakuyama, Carlos Alberto Valderrama, 00000000000, Aroca, Rafael Vidal, 28068503803, http://lattes.cnpq.br/9262228584082064, Silveira, Luiz Felipe de Queiroz, Souza, Samuel Xavier de
PublisherPROGRAMA DE P?S-GRADUA??O EM ENGENHARIA EL?TRICA E DE COMPUTA??O, UFRN, Brasil
Source SetsIBICT Brazilian ETDs
LanguagePortuguese
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis
Sourcereponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN
Rightsinfo:eu-repo/semantics/openAccess

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