An Improved Parallel Algorithm Using GPU for Siting Observers on Terrain

Guilherme C. Pena, Marcus V. A. Andrade, Salles V. G. Magalhães, W. R. Franklin, Chaulio R. Ferreira

2014

Abstract

This paper presents an efficient method to determine a set of observers (that is, where to site them) such that a given percentage of a terrain is visually covered. Our method extends the method proposed in (Franklin, 2002) including a local search heuristic efficiently implemented using dynamic programming and GPU parallel programming. This local search strategy allows to achieve a higher coverage using the same number of observers as the original method and thus it is possible to obtain a given coverage using a smaller number of observers. It can be an important improvement since an observer can represent an expensive facility such as a telecommunication tower. The proposed method performance was compared with that of other methods and the tests showed that it can be more than 1200 times faster than the sequential implementation (with no use of dynamic programming and no GPU parallel programmming) and, also, more than 20 times faster than a previous parallel method presented in (Magalhães et al., 2011).

References

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Paper Citation


in Harvard Style

Pena G., Andrade M., Magalhães S., Franklin W. and Ferreira C. (2014). An Improved Parallel Algorithm Using GPU for Siting Observers on Terrain . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-027-7, pages 367-375. DOI: 10.5220/0004884303670375


in Bibtex Style

@conference{iceis14,
author={Guilherme C. Pena and Marcus V. A. Andrade and Salles V. G. Magalhães and W. R. Franklin and Chaulio R. Ferreira},
title={An Improved Parallel Algorithm Using GPU for Siting Observers on Terrain},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2014},
pages={367-375},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004884303670375},
isbn={978-989-758-027-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An Improved Parallel Algorithm Using GPU for Siting Observers on Terrain
SN - 978-989-758-027-7
AU - Pena G.
AU - Andrade M.
AU - Magalhães S.
AU - Franklin W.
AU - Ferreira C.
PY - 2014
SP - 367
EP - 375
DO - 10.5220/0004884303670375