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Contribution aux architectures adaptatives : Etude de l'efficacité énergétique dans le cas des applications à parallélisme de données

Abstract : My PhD project focuses on Dynamic Adaptive Runtime parallelism and frequency scaling techniques in coarse grain reconfigurable hardware architectures. This new architectural approach offers a set of new features to increase the flexibility and scalability for applications in an evolving environment with reasonable energy cost. In this architecture, the parallelism granularity and running frequency can be reconfigured by using partial and dynamic reconfiguration. The adaptive method and architecture have been already developed and tested on FPGA platforms. The measurements and results analysis based on DWT show that the energy efficiency is adjustable dynamically by using our approach. The main contribution to the research project involves an auto-adaptive method development; this means using partial and dynamic reconfiguration can reconfigure the parallelism granularity and running frequency of application. The adaptive method by adjusting the parallelism granularity and running frequency is tested with the same application. We are presenting results coming from implementations of Image processing key application and analyses the behavior of this architecture on these applications.
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https://hal.univ-lorraine.fr/tel-01748353
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Xun Zhang. Contribution aux architectures adaptatives : Etude de l'efficacité énergétique dans le cas des applications à parallélisme de données. Autre. Université Henri Poincaré - Nancy 1, 2009. Français. ⟨NNT : 2009NAN10106⟩. ⟨tel-01748353⟩

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