An In-Memory Monitoring Database For Self Adaptive MP²SoCs

Abstract : The complexity of MP²SoC architectures to come is such that many issues arise simultaneously, such as multicore programming, system performance, reliability, scalability, etc. The key to solve these issues is self-adaptability: the chips to come have to integrate the required software and hardware means to monitor and self-react to the various kinds of events that are likely to occur during chip's lifetime. The paper describes the design principles of a software based approach used to monitor manycore architectures running multi-threaded functional applications. The approach takes advantage of an in-memory database (as well as appropriate means to store, handle, and retrieve accumulated monitoring data) to achieve the monitoring task as simply as possible. After a presentation of the distributed database (called DRET), a case study is presented, along with performance results that clearly show the interest of the approach.
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Communication dans un congrès
DASIP: Design and Architectures for Signal and Image Processing, Oct 2010, Edimbourg, United Kingdom. IEEE International Conference on Design and Architectures for Signal and Image Processing, pp.97-104, 2010, 〈10.1109/DASIP.2010.5706252〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00548822
Contributeur : Martine Peridier <>
Soumis le : lundi 20 décembre 2010 - 15:33:28
Dernière modification le : jeudi 22 novembre 2018 - 14:16:11

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Etienne Faure, Gabriel Marchesan Almeida, Mounir Benabdenbi, Pascal Benoit, Fabien Clermidy, et al.. An In-Memory Monitoring Database For Self Adaptive MP²SoCs. DASIP: Design and Architectures for Signal and Image Processing, Oct 2010, Edimbourg, United Kingdom. IEEE International Conference on Design and Architectures for Signal and Image Processing, pp.97-104, 2010, 〈10.1109/DASIP.2010.5706252〉. 〈lirmm-00548822〉

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