X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/ThesisAhmed.git/blobdiff_plain/08fd1453cc5e5821d785ef1e3ff67047421e4f1b..46e8710e38caa11a5ea1ac4d5878d02ebe1cb610:/Abstruct.tex?ds=inline

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-\emph{ \begin{center} \Large Thesis title \end{center}}   
+\emph{ \begin{center} \Large Energy Consumption Optimization of Parallel Iterative Applications using CPU Frequency Scaling\end{center}}   
 %\emph{ \begin{center} \large By \end{center}}  
 \emph{ \begin{center} \large Ahmed Badri Muslim Fanfakh \\ University of Franche-Comt\'e, 2016 \end{center}} 
 %\emph{ \begin{center} \large The University of Franche-Comt\'e, 2015 \end{center}}  
 \emph{ \begin{center} \large Supervisors: RaphaÃ«l Couturier, Jean-Claude Charr and Arnaud Giersch \end{center}}  
 
   
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-\textbf{KEY WORDS:} kw1,kw2,...
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+In recent years, green computing has become an important topic in the supercomputing
+research domain. However, the computing platforms are still consuming more and more energy due to the increasing number of nodes composing them. 
+To minimize the operating costs of these platforms many techniques have
+been used. Dynamic voltage and frequency scaling (DVFS) is one of them. It
+can be used to reduce the power consumption of the CPU while computing, by
+lowering its frequency. However, lowering the frequency of a CPU may increase
+the execution time of an application running on that processor. Therefore, the
+frequency that gives the best trade-off between the energy consumption and the
+performance of an application must be selected.
+In this thesis, a set of works  are presented to optimize the energy consumption  
+and the performance of the synchronous and asynchronous message passing iterative applications running over clusters and grids.  The energy consumption and performance models for each type of iterative application 
+are well modelled and defined according to the characteristics of both the application  itself and  the  parallel architecture executing this application. 
+
+Firstly, we propose a frequency scaling factors selection algorithm for synchronous iterative applications running over a homogeneous platform. It is  applied to the NAS parallel benchmarks  and stimulated by SimGrid simulator. 
+Secondly, we develop two frequency scaling factors selection algorithms for synchronous iterative applications running over a heterogeneous cluster and grid. Both algorithms are implemented to the NAS parallel benchmarks and conducted over SimGrid simulator and Grid'5000 testbed. 
+Thirdly, we propose a frequency scaling factors selection algorithm for an asynchronous and a hybrid  iterative applications running over a grid. The algorithm is evaluated over SimGrid simulator and Grid'5000 testbed while running a multi-splitting application that solves 3D problem. 
+All the proposed algorithms are compared to an existing  methods, which are the Rauber and RÃ¼nger and the energy and delay products (EDP) methods. The comparison results show that all the proposed algorithms  give better energy consumption and performance trade-off results. The proposed algorithms  have a very small overhead on the execution time of the applications and they work online without training and profiling. 
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+\textbf{KEY WORDS:} Dynamic voltage and frequency scaling, Grid computing,  Energy optimization, iterative applications and frequency scaling online algorithm.
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