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@ARTICLE{Cavallaro:909063,
author = {Cavallaro, Gabriele and Heras, Dora B. and Wu, Zebin and
Maskey, Manil and Lopez, Sebastian and Gawron, Piotr and
Coca, Mihai and Datcu, Mihai},
title = {{H}igh-{P}erformance and {D}isruptive {C}omputing in
{R}emote {S}ensing: {HDCRS}—{A} new {W}orking {G}roup of
the {GRSS} {E}arth {S}cience {I}nformatics {T}echnical
{C}ommittee [{T}echnical {C}ommittees]},
journal = {IEEE geoscience and remote sensing magazine},
volume = {10},
number = {2},
issn = {2168-6831},
address = {New York, NY},
publisher = {IEEE},
reportid = {FZJ-2022-02981},
pages = {329 - 345},
year = {2022},
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.},
cin = {JSC},
ddc = {550},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511) / 5111 - Domain-Specific
Simulation $\&$ Data Life Cycle Labs (SDLs) and Research
Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-5111},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000838452500015},
doi = {10.1109/MGRS.2022.3145478},
url = {https://juser.fz-juelich.de/record/909063},
}