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@MISC{Herten:868123,
      author       = {Herten, Andreas and Meinke, Jan and Kreutz, Jochen and
                      Kraus, Jiri},
      title        = {{GPU} {P}rogramming with {CUDA}},
      reportid     = {FZJ-2019-06710},
      year         = {2019},
      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 an NVIDIA GPU. The course covers
                      basic 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.},
      month         = {Apr},
      date          = {2019-04-01},
      organization  = {PRACE Training Course, Jülich
                       (Germany), 1 Apr 2019 - 3 Apr 2019},
      subtyp        = {Other},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / 513 - Supercomputer Facility (POF3-513)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-HGF)POF3-513},
      typ          = {PUB:(DE-HGF)17},
      url          = {https://juser.fz-juelich.de/record/868123},
}