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

被引：8
|
作者：
Cuomo, Salvatore [1 ]
De Michele, Pasquale [1 ]
Galletti, Ardelio [2 ]
Marcellino, Livia [2 ]
机构：
[1] Univ Naples Federico II, Dept Math & Applicat, Str Vicinale Cupa Cintia 21, I-80126 Naples, Italy
[2] Univ Naples Parthenope, Dept Sci & Technol, Ctr Direz Isola C3, I-80143 Naples, Italy
来源：
JOURNAL OF COMPUTATIONAL SCIENCE | 2017年 / 22卷
关键词：
Optical Flow; Partial differential equations; High performance computing; Graphic processor units; Hybrid architectures;
D O I：
10.1016/j.jocs.2017.03.011
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：228 / 236
页数：9
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