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@MISC{Herten:1019179,
      author       = {Herten, Andreas and Meinke, Jan and Haghighi Mood, Kaveh
                      and Hater, Thorsten and Hrywniak, Markus},
      title        = {{D}irective-based {GPU} {P}rogramming with {O}pen{ACC}},
      reportid     = {FZJ-2023-05225},
      year         = {2023},
      abstract     = {GPU-accelerated computing drives current scientific
                      research. Writing fast numeric algorithms for GPUs offers
                      high application performance by offloading compute-intensive
                      portions of the code to the GPU. The course covers basic
                      aspects of GPU architectures and programming. Focus is on
                      the usage of the directive-based OpenACC programming model,
                      which allows for portable application development. Examples
                      of increasing complexity are used to demonstrate
                      optimization and tuning of scientific applications.},
      month         = {Oct},
      date          = {2023-10-24},
      organization  = {JSC - as part of the Training
                       Programme of Forschungszentrum Jülich,
                       online (Germany), 24 Oct 2023 - 26 Oct
                       2023},
      subtyp        = {Other},
      cin          = {JSC},
      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) / ATML-X-DEV - ATML Accelerating Devices
                      (ATML-X-DEV)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-5111 /
                      G:(DE-Juel-1)ATML-X-DEV},
      typ          = {PUB:(DE-HGF)17},
      doi          = {10.34734/FZJ-2023-05225},
      url          = {https://juser.fz-juelich.de/record/1019179},
}