SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters
Autor: | Dominique Houzet, Sylvain Huet, Farouk Mansouri |
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Přispěvatelé: | GIPSA - Architecture, Géométrie, Perception, Images, Gestes (GIPSA-AGPIG), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Mansouri, Farouk |
Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: |
020203 distributed computing
Speedup TOP500 Computer science business.industry Distributed computing Parallel programming model StarPU 02 engineering and technology Load balancing (computing) Digital signal processing 020202 computer hardware & architecture CUDA Memory management [INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] 0202 electrical engineering electronic engineering information engineering Programming paradigm Unfolding techniques [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] business Data-flow analysis |
Zdroj: | IEEE Computer Society, 16th IEEE International Conference on High Performance Computing and Communications IEEE International Conference on High Performance Computing and Communications IEEE International Conference on High Performance Computing and Communications, Aug 2014, Paris, France. pp.8 HPCC/CSS/ICESS |
Popis: | The biomedical imagery, the numeric communications, the acoustic signal processing and many others gls[dsp] applications are present more and more in the numeric world. They process growing data volume which is represented with more and more accuracy, and use complex algorithms with time constraints to satisfying. Consequently, a high requirement of computing power characterize them. To satisfy this need, it's inevitable today to use parallel and heterogeneous architectures in order to speedup the processing, where the best examples are today's supercomputers like "Tianhe-2" and "Titan" of Top500 ranking. These architectures with their multi-core nodes supported by many-core accelerators offer a good response to this problem. However, they are still hard to program to make performance because of many reasons: Parallelism expression, task synchronization, memory management, hardware specifications handling, load balancing In the present work, we are characterizing gls[dsp] applications and propose a programming model based on their distinctiveness in order to implement them easily and efficiently on heterogeneous clusters. |
Databáze: | OpenAIRE |
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