A Block Size Optimization Algorithm for Parallel Image Processing

J. Alvaro Fernandez, M. Dolores Moreno

2014

Abstract

The aim of this work is to define a strategy for rectangular block partitioning that can be adapted to the number of available processing units in a parallel processing machine, regardless of the input data size. With this motivation, an algorithm for optimal vector block partitioning is introduced and tested in a typical parallel image application. The proposed algorithm provides a novel partition method that reduces data sharing between blocks and maintains block sizes as equal as possible for any input size.

Paper Citation

in Harvard Style

Alvaro Fernandez J. and Dolores Moreno M. (2014). A Block Size Optimization Algorithm for Parallel Image Processing . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 138-144. DOI: 10.5220/0004695001380144

in Bibtex Style

@conference{visapp14,
author={J. Alvaro Fernandez and M. Dolores Moreno},
title={A Block Size Optimization Algorithm for Parallel Image Processing},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={138-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004695001380144},
isbn={978-989-758-003-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - A Block Size Optimization Algorithm for Parallel Image Processing
SN - 978-989-758-003-1
AU - Alvaro Fernandez J.
AU - Dolores Moreno M.
PY - 2014
SP - 138
EP - 144
DO - 10.5220/0004695001380144