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A parallel PDE-based numerical algorithm for computing the Optical Flow in hybrid systems
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DOI：10.1016/j.jocs.2017.03.011.png)
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Abstract
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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. (C) 2017 Elsevier B.V. All rights reserved.
Keywords:
Optical Flow
Partial differential equations
High performance computing
Graphic processor units
Hybrid architectures
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