Tian, X., Cockshott, P. and Oehler, S. (2014) Acceleration of stereo-matching on multi-core CPU and GPU. In: 16th IEEE International Conference on High Performance Computing and Communications (HPCC 2014), Paris, France, 20-22 Aug 2014,
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Publisher's URL: http://conference.hpcc2014.studiocheik.fr/
Abstract
This paper presents an accelerated version of a dense stereo-correspondence algorithm for two different parallelism enabled architectures, multi-core CPU and GPU. The algorithm is part of the vision system developed for a binocular robot-head in the context of the CloPeMa 1 research project. This research project focuses on the conception of a new clothes folding robot with real-time and high resolution requirements for the vision system. The performance analysis shows that the parallelised stereo-matching algorithm has been significantly accelerated, maintaining 12x and 176x speed-up respectively for multi-core CPU and GPU, compared with non-SIMD singlethread CPU. To analyse the origin of the speed-up and gain deeper understanding about the choice of the optimal hardware, the algorithm was broken into key sub-tasks and the performance was tested for four different hardware architectures.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Cockshott, Dr William and Oehler, Ms Susanne |
Authors: | Tian, X., Cockshott, P., and Oehler, S. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
College/School: | College of Science and Engineering > School of Computing Science |
Copyright Holders: | Copyright © 2014 The Authors |
Publisher Policy: | Reproduced with the permission of the authors |
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