Universität zu Köln

Liu, Jia, Feld, Dustin, Xue, Yong ORCID: 0000-0003-3091-6637, Garcke, Jochen, Soddemann, Thomas and Pan, Peiyuan (2016). An efficient geosciences workflow on multi-core processors and GPUs: a case study for aerosol optical depth retrieval from MODIS satellite data. Int. J. Digit. Earth, 9 (8). S. 748 - 766. ABINGDON: TAYLOR & FRANCIS LTD. ISSN 1753-8955

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Abstract

Quantitative remote sensing retrieval algorithms help understanding the dynamic aspects of Digital Earth. However, the Big Data and complex models in Digital Earth pose grand challenges for computation infrastructures. In this article, taking the aerosol optical depth (AOD) retrieval as a study case, we exploit parallel computing methods for high efficient geophysical parameter retrieval. We present an efficient geocomputation workflow for the AOD calculation from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data. According to their individual potential for parallelization, several procedures were adapted and implemented for a successful parallel execution on multi-core processors and Graphics Processing Units (GPUs). The benchmarks in this paper validate the high parallel performance of the retrieval workflow with speedups of up to 5.x on a multi-core processor with 8 threads and 43.x on a GPU. To specifically address the time-consuming model retrieval part, hybrid parallel patterns which combine the multi-core processor's and the GPU's compute power were implemented with static and dynamic workload distributions and evaluated on two systems with different CPU-GPU configurations. It is shown that only the dynamic hybrid implementation leads to a greatly enhanced overall exploitation of the heterogeneous hardware environment in varying circumstances.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Liu, Jia UNSPECIFIED UNSPECIFIED UNSPECIFIED Feld, Dustin UNSPECIFIED UNSPECIFIED UNSPECIFIED Xue, Yong UNSPECIFIED orcid.org/0000-0003-3091-6637 UNSPECIFIED Garcke, Jochen UNSPECIFIED UNSPECIFIED UNSPECIFIED Soddemann, Thomas UNSPECIFIED UNSPECIFIED UNSPECIFIED Pan, Peiyuan UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-289248
DOI:	10.1080/17538947.2015.1130087
Journal or Publication Title:	Int. J. Digit. Earth
Volume:	9
Number:	8
Page Range:	S. 748 - 766
Date:	2016
Publisher:	TAYLOR & FRANCIS LTD
Place of Publication:	ABINGDON
ISSN:	1753-8955
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language HIGH-PERFORMANCE; DIGITAL EARTH; IMPLEMENTATION; CHINA; CLOUD; LAND; PRODUCTS Multiple languages Geography, Physical; Remote Sensing Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/28924