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@MISC{Meinke:1019178,
      author       = {Meinke, Jan and Herten, Andreas and Hrywniak, Markus and
                      Kraus, Jiri and Haghighi Mood, Kaveh},
      title        = {{GPU} {P}rogramming {P}art 2: {A}dvanced {GPU}
                      {P}rogramming},
      reportid     = {FZJ-2023-05224},
      year         = {2023},
      note         = {See https://juser.fz-juelich.de/record/1019123 for the
                      JuSER entry for the Basic Course.},
      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 a GPU.The course covers aspects of
                      GPU architectures and programming. Focus is on the usage of
                      the parallel programming language CUDA C++, which allows
                      maximum control of NVIDIA GPU hardware. Examples of
                      increasing complexity are used to demonstrate optimization
                      and tuning of scientific applications. The foundations of
                      GPU programming are covered in another dedicated Basic
                      Course.This advanced course consists of modules providing
                      more in-depth coverage of multi-GPU programming, modern CUDA
                      concepts, CUDA Fortran, and portable programming models such
                      as OpenACC and C++ parallel STL algorithms.},
      month         = {Jun},
      date          = {2023-06-19},
      organization  = {JSC - as part of the Training
                       Programme of Forschungszentrum Jülich,
                       online (Germany), 19 Jun 2023 - 23 Jun
                       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) / 5122 - Future Computing $\&$ Big Data
                      Systems (POF4-512) / ATML-X-DEV - ATML Accelerating Devices
                      (ATML-X-DEV)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-5111 /
                      G:(DE-HGF)POF4-5122 / G:(DE-Juel-1)ATML-X-DEV},
      typ          = {PUB:(DE-HGF)17},
      doi          = {10.34734/FZJ-2023-05224},
      url          = {https://juser.fz-juelich.de/record/1019178},
}