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A multi-device version of the HYFMGPU algorithm for hyperspectral scenes registration

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Abstract

Hyperspectral image registration is a relevant task for real-time applications like environmental disasters management or search and rescue scenarios. Traditional algorithms were not really devoted to real-time performance, even when ported to GPUs or other parallel devices. Thus, the HYFMGPU algorithm arose as a solution to such a lack. Nevertheless, as sensors are expected to evolve and thus generate images with finer resolutions and wider wavelength ranges, a multi-GPU implementation of this algorithm seems to be necessary in a near future. This work presents a multi-device MPI \(+\) CUDA implementation of the HYFMGPU algorithm that distributes all its stages among several GPUs. This version has been validated testing it for 5 different real hyperspectral images, with sizes from about 80 MB to nearly 2 GB, achieving speedups for the whole execution of the algorithm from 1.18 \(\times \) to 1.59 \(\times \) in 2 GPUs and from 1.26 \(\times \) to 2.58 \(\times \) in 4 GPUs. The parallelization efficiencies obtained are stable around 86\(\%\) and 78\(\%\) for 2 and 4 GPUs, respectively, which proves the scalability of this multi-device version.

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Acknowledgements

This work has been partially supported by: Universidad de Valladolid—Consejería de Educación of Junta de Castilla y León, Ministerio de Economía, Industria y Competitividad of Spain, and European Regional Development Fund (ERDF) program: Project PCAS (TIN2017-88614-R), Project PROPHET (VA082P17) and CAPAP-H6 network (TIN2016-81840-REDT). Universidade de Santiago de Compostela—Consellería de Cultura, Educación e Ordenación Universitaria of Xunta de Galicia (grant numbers GRC2014/008 and ED431G/08) and Ministerio de Economía, Industria y Competitividad of Spain (Grant Number TIN2016-76373-P), all co-funded by the European Regional Development Fund (ERDF) program. The work of Álvaro Ordóñez was supported by the Ministerio de Educación, Cultura y Deporte under an FPU Grant (Grant Number FPU16/03537).

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Authors and Affiliations

  1. Departamento de Informática, Universidad de Valladolid, Valladolid, Spain

    Jorge Fernández-Fabeiro & Arturo Gonzalez-Escribano

  2. Centro Singular de Investigación en Tecnoloxías da Información (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Álvaro Ordóñez & Dora B. Heras

Authors
  1. Jorge Fernández-Fabeiro
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  2. Álvaro Ordóñez
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  3. Arturo Gonzalez-Escribano
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  4. Dora B. Heras
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Correspondence to Jorge Fernández-Fabeiro.

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Fernández-Fabeiro, J., Ordóñez, Á., Gonzalez-Escribano, A. et al. A multi-device version of the HYFMGPU algorithm for hyperspectral scenes registration. J Supercomput 75, 1551–1564 (2019). https://doi.org/10.1007/s11227-018-2689-7

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