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@MISC{Herten:915928,
      author       = {Herten, Andreas and Hater, Thorsten and Haghighi Mood,
                      Kaveh and Kraus, Jiri and Hrywniak, Markus},
      title        = {{D}irective-based {GPU} programming with {O}pen{ACC}},
      reportid     = {FZJ-2022-05791},
      year         = {2022},
      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 covered basic
                      aspects of GPU architectures and programming. Focus was on
                      the usage of the directive-based OpenACC programming model,
                      which allows for portable application development. Examples
                      of increasing complexity were used to demonstrate
                      optimization and tuning of scientific applications. Topics
                      covered: Introduction to GPU/Parallel computing, Programming
                      model OpenACC, Interoperability of OpenACC with GPU
                      libraries (like cuBLAS and cuFFT) and CUDA, Multi-GPU
                      Programming with MPI and OpenACC, Tools for debugging and
                      profiling, Performance optimization. The course consists of
                      lectures and interactive hands-on sessions in C or Fortran
                      (the attendee’s choice).},
      month         = {Oct},
      date          = {2022-10-26},
      organization  = {PRACE Training Course at JSC, online
                       (Germany), 26 Oct 2022 - 28 Oct 2022},
      subtyp        = {Other},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5122 - Future Computing $\&$ Big Data Systems (POF4-512) /
                      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)POF4-5122 / G:(DE-HGF)POF4-5111 /
                      G:(DE-Juel-1)ATML-X-DEV},
      typ          = {PUB:(DE-HGF)17},
      url          = {https://juser.fz-juelich.de/record/915928},
}