A parallel PDE-based numerical algorithm for computing the Optical Flow in hybrid systems

•A fine-to-coarse parallelization strategy in order to exploit a parallel hybrid architecture is proposed.•We consider the Optical Flow numerical problem and implement a parallel multilevel software.•A hybrid software solution combining codes on Graphic Processor Units is proposed.•Numerical experim...

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Veröffentlicht in:Journal of computational science Jg. 22; S. 228 - 236
Hauptverfasser: Cuomo, Salvatore, De Michele, Pasquale, Galletti, Ardelio, Marcellino, Livia
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.09.2017
Schlagworte:
Graphic processor units
High performance computing
Hybrid architectures
Optical Flow
Partial differential equations
Hybrid architectures
Partial differential equations
High performance computing
Graphic processor units
Optical Flow
ISSN:1877-7503, 1877-7511
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Zusammenfassung:•A fine-to-coarse parallelization strategy in order to exploit a parallel hybrid architecture is proposed.•We consider the Optical Flow numerical problem and implement a parallel multilevel software.•A hybrid software solution combining codes on Graphic Processor Units is proposed.•Numerical experiments highlight good results in terms of performance for the proposed approach. In this paper, we propose a fine-to-coarse parallelization strategy in order to exploit, in a case study, a parallel hybrid architecture. We consider the Optical Flow numerical problem, modelled by partial differential equations, and implement a parallel multilevel software. Our hybrid software solution is a smart combination between codes on Graphic Processor Units (GPUs) and standard scientific parallel computing libraries on a cluster. Numerical experiments, on real satellite image sequences coming from a large dataset in a big data scenario, together with application profiling, highlight good results in terms of performance for the proposed approach.
ISSN:1877-7503
1877-7511
DOI:10.1016/j.jocs.2017.03.011