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@INPROCEEDINGS{Herten:824105,
      author       = {Herten, Andreas},
      title        = {{GPU} {C}omputing: {P}latform, {P}rogramming, and
                      {P}itfalls},
      school       = {Karlsruhe Institute of Technology},
      reportid     = {FZJ-2016-06729},
      year         = {2016},
      abstract     = {GPUs, Graphics Processing Units, offer a large amount of
                      processing power by providing a platform for massively
                      parallel computing. They have the ability to greatly
                      increase the performance of scientific applications on a
                      single workstation computer; and they also power the fastest
                      supercomputers in the world. But leveraging the processing
                      power is not as easy as just running a program on a
                      GPU-enabled computer. The program needs to be ported to and
                      carefully optimized for the GPU architecture. This talk
                      gives an introduction to GPU hardware architectures,
                      programming concepts (CUDA, OpenACC), and touches on the
                      most prevalent pitfalls of working with the technologies.},
      month         = {Aug},
      date          = {2016-08-29},
      organization  = {GridKa School 2016, Karlsruhe
                       (Germany), 29 Aug 2016 - 2 Sep 2016},
      subtyp        = {Invited},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {513 - Supercomputer Facility (POF3-513) / 511 -
                      Computational Science and Mathematical Methods (POF3-511)},
      pid          = {G:(DE-HGF)POF3-513 / G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/824105},
}