High-Performance and Disruptive Computing in Remote Sensing: HDCRS-A New Working Group of the GRSS Earth Science Informatics Technical Committee
dc.contributor.author
Cavallaro, Gabriele
dc.contributor.author
Heras, Dora B.
dc.contributor.author
Wu, Zebin
dc.contributor.author
Maskey, Manil
dc.contributor.author
Lopez, Sebastian
dc.contributor.author
Gawron, Piotr
dc.contributor.author
Coca, Mihai
dc.contributor.author
Datcu, Mihai
dc.date.accessioned
2022-07-18T09:45:30Z
dc.date.available
2022-04-16T02:45:44Z
dc.date.available
2022-04-22T12:04:22Z
dc.date.available
2022-04-22T12:05:52Z
dc.date.available
2022-07-18T09:45:30Z
dc.date.issued
2022-06
dc.identifier.issn
2168-6831
dc.identifier.other
10.1109/MGRS.2022.3145478
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/542533
dc.description.abstract
The High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working Group (WG) was recently established under the IEEE Geoscience and Remote Sensing Society (GRSS) Earth Science Informatics (ESI) Technical Committee to connect a community of interdisciplinary researchers in remote sensing (RS) who specialize in advanced computing technologies, parallel programming models, and scalable algorithms. HDCRS focuses on three major research topics in the context of RS: 1) supercomputing and distributed computing, 2) specialized hardware computing, and 3) quantum computing (QC). This article presents these computing technologies as they play a major role for the development of RS applications. The HDCRS disseminates information and knowledge through educational events and publication activities which will also be introduced in this article.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
High-Performance and Disruptive Computing in Remote Sensing: HDCRS-A New Working Group of the GRSS Earth Science Informatics Technical Committee
en_US
dc.type
Journal Article
dc.date.published
2022-04-05
ethz.journal.title
IEEE Geoscience and Remote Sensing Magazine
ethz.journal.volume
10
en_US
ethz.journal.issue
2
en_US
ethz.journal.abbreviated
IEEE geosci. remote sens. mag.
ethz.pages.start
329
en_US
ethz.pages.end
345
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.status
published
en_US
ethz.date.deposited
2022-04-16T02:45:50Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2022-07-18T09:45:38Z
ethz.rosetta.lastUpdated
2023-02-07T04:21:48Z
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true
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true
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Journal Article [135801]