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@ARTICLE{Halver:1008596,
      author       = {Halver, Rene and Junghans, Christoph and Sutmann, Godehard},
      title        = {{U}sing heterogeneous {GPU} nodes with a {C}abana-based
                      implementation of {MPCD}},
      journal      = {Parallel computing},
      volume       = {117},
      issn         = {0167-8191},
      address      = {Amsterdam [u.a.]},
      publisher    = {North-Holland, Elsevier Science},
      reportid     = {FZJ-2023-02429},
      pages        = {103033},
      year         = {2023},
      abstract     = {The Kokkos based library Cabana, which has been developed
                      in the Co-design Center for Particle Applications (CoPA), is
                      used for the implementation of Multi-Particle Collision
                      Dynamics (MPCD), a particle-based description of
                      hydrodynamic interactions. Cabana allows for a function
                      portable implementation, which has been used to study the
                      interplay between CPU and GPU usage on a multi-node system
                      as well as analysis of said interplay with performance
                      analysis tools. As a result, we see most advantages in a
                      homogeneous GPU usage, but we also discuss the extent to
                      which heterogeneous applications might be more performant,
                      using both CPU and GPU concurrently.},
      cin          = {JSC},
      ddc          = {620},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001031078800001},
      doi          = {10.1016/j.parco.2023.103033},
      url          = {https://juser.fz-juelich.de/record/1008596},
}