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@INPROCEEDINGS{Halver:845264,
      author       = {Halver, Rene and Homberg, Wilhelm and Sutmann, Godehard},
      title        = {{B}enchmarking {M}olecular {D}ynamics with {O}pen{CL} on
                      {M}any-{C}ore {A}rchitectures},
      volume       = {10778},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2018-02545},
      isbn         = {978-3-319-78053-5 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {244 - 253},
      year         = {2018},
      comment      = {Parallel Processing and Applied Mathematics / Wyrzykowski,
                      Roman (Editor) [0000-0003-1724-1786] ; Cham : Springer
                      International Publishing, 2018, Chapter 23 ; ISSN:
                      0302-9743=1611-3349 ; ISBN:
                      978-3-319-78053-5=978-3-319-78054-2 ;
                      doi:10.1007/978-3-319-78054-2},
      booktitle     = {Parallel Processing and Applied
                       Mathematics / Wyrzykowski, Roman
                       (Editor) [0000-0003-1724-1786] ; Cham :
                       Springer International Publishing,
                       2018, Chapter 23 ; ISSN:
                       0302-9743=1611-3349 ; ISBN:
                       978-3-319-78053-5=978-3-319-78054-2 ;
                       doi:10.1007/978-3-319-78054-2},
      abstract     = {Molecular Dynamics (MD) is a widely used tool for
                      simulations of particle systems with pair-wise interactions.
                      Since large scale MD simulations are very demanding in
                      computation time, parallelisation is an important factor. As
                      in the current HPC environment different heterogeneous
                      computing architectures are emerging, a benchmark tool for a
                      representative number of these architectures is desirable.
                      OpenCL as a platform-overarching standard provides the
                      capabilities for such a benchmark. This paper describes the
                      implementation of an OpenCL MD benchmark code and discusses
                      the results achieved on different types of computing
                      hardware.},
      month         = {Sep},
      date          = {2017-09-10},
      organization  = {12th International Conference on
                       Parallel Processing and Applied
                       Mathematics, Lublin (Poland), 10 Sep
                       2017 - 13 Sep 2017},
      cin          = {JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000458563900023},
      doi          = {10.1007/978-3-319-78054-2_23},
      url          = {https://juser.fz-juelich.de/record/845264},
}