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@INPROCEEDINGS{Baumeister:830547,
      author       = {Baumeister, Paul F. and Hater, Thorsten and Pleiter, Dirk
                      and Boettiger, Hans and Maurer, Thilo and Brunheroto, Jose
                      R.},
      title        = {{E}xploiting {I}n-{M}emory {P}rocessing {C}apabilities for
                      {D}ensity {F}unctional {T}heory {A}pplications},
      volume       = {10104},
      number       = {60},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2017-04079},
      isbn         = {978-3-319-58943-5},
      series       = {Lecture Notes in Computer Science},
      pages        = {750 - 762},
      year         = {2017},
      comment      = {Euro-Par 2016: Parallel Processing Workshops / Desprez,
                      Frederic (Editor) ; Cham : Springer International
                      Publishing, 2017, Chapter 60 ; ISSN: 0302-9743=1611-3349 ;
                      ISBN: 978-3-319-58942-8=978-3-319-58943-5 ;
                      doi:10.1007/978-3-319-58943-5},
      booktitle     = {Euro-Par 2016: Parallel Processing
                       Workshops / Desprez, Frederic (Editor)
                       ; Cham : Springer International
                       Publishing, 2017, Chapter 60 ; ISSN:
                       0302-9743=1611-3349 ; ISBN:
                       978-3-319-58942-8=978-3-319-58943-5 ;
                       doi:10.1007/978-3-319-58943-5},
      abstract     = {Processing-in-memory (PIM) is an approach to address the
                      data transport challenge in future HPC architectures and
                      various designs have been explored in the past. Despite, it
                      remains unclear how scien- tific applications could
                      efficiently exploit massively-parallel HPC archi- tectures
                      integrating PIM modules. In this paper we address this
                      question for material science applications for which we
                      ported relevant kernels to the Active Memory Cube
                      architecture developed by IBM Research.},
      month         = {Aug},
      date          = {2016-08-24},
      organization  = {Euro-Par 2016 International Workshops,
                       Grenoble (France), 24 Aug 2016 - 26 Aug
                       2016},
      cin          = {JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {513 - Supercomputer Facility (POF3-513)},
      pid          = {G:(DE-HGF)POF3-513},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000529303100060},
      doi          = {10.1007/978-3-319-58943-5_60},
      url          = {https://juser.fz-juelich.de/record/830547},
}