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An efficient geosciences workflow on multi-core processors and GPUs: a case study for aerosol optical depth retrieval from MODIS satellite data.

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Title: An efficient geosciences workflow on multi-core processors and GPUs: a case study for aerosol optical depth retrieval from MODIS satellite data.
Authors: Liu, Jia1,2,3 (AUTHOR), Feld, Dustin2,4 (AUTHOR), Xue, Yong1,5 (AUTHOR) y.xue@londonmet.ac.uk, Garcke, Jochen2,6 (AUTHOR), Soddemann, Thomas2 (AUTHOR), Pan, Peiyuan5 (AUTHOR)
Source: International Journal of Digital Earth. Aug2016, Vol. 9 Issue 8, p748-765. 18p.
Database: Academic Search Ultimate
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  Data: An efficient geosciences workflow on multi-core processors and GPUs: a case study for aerosol optical depth retrieval from MODIS satellite data.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Digital+Earth%22">International Journal of Digital Earth</searchLink>. Aug2016, Vol. 9 Issue 8, p748-765. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=116792846
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        Value: 10.1080/17538947.2015.1130087
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      – Code: eng
        Text: English
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        PageCount: 18
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      – TitleFull: An efficient geosciences workflow on multi-core processors and GPUs: a case study for aerosol optical depth retrieval from MODIS satellite data.
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              M: 08
              Text: Aug2016
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