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@ARTICLE{Cavallaro:1029395,
      author       = {Cavallaro, Gabriele and Heras, Dora Blanco and Maskey,
                      Manil},
      title        = {{H}igh {P}erformance and {D}isruptive {C}omputing in
                      {R}emote {S}ensing: {T}he {T}hird {E}dition of the {S}chool
                      {O}rganized by the {HDCRS} {W}orking {G}roup of the {GRSS}
                      {E}arth {S}cience {I}nformatics {T}echnical {C}ommittee},
      journal      = {IEEE geoscience and remote sensing magazine},
      volume       = {12},
      number       = {1},
      issn         = {2168-6831},
      address      = {New York, NY},
      publisher    = {IEEE},
      reportid     = {FZJ-2024-05103},
      pages        = {199 - 204},
      year         = {2024},
      abstract     = {From May 29 to June 1, 2023, the University of Iceland in
                      Reykjavik hosted the third "High Performance and Disruptive
                      Computing in Remote Sensing" school. Organized by the HDCRS
                      Working Group of the GRSS Earth Science Informatics
                      Technical Committee (ESI TC), the event aimed to educate
                      attendees on the latest advancements in parallel and
                      scalable computing algorithms and technologies as they
                      pertain to remote sensing. The curriculum spanned four key
                      topics and integrated theoretical knowledge with practical
                      exercises. With over 100 global registrations, 30
                      individuals were chosen for the in-person event in
                      Reykjavik, based on a rigorous selection process emphasizing
                      diversity, experience, and skills. All sessions have been
                      made accessible on the GRSS YouTube channel, and the event
                      saw participants from 15 countries across 4 continents.},
      cin          = {JSC},
      ddc          = {550},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / EUROCC-2 (DEA02266)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-Juel-1)DEA02266},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001181182100002},
      doi          = {10.1109/MGRS.2023.3347770},
      url          = {https://juser.fz-juelich.de/record/1029395},
}