% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Teijeiro:141420,
      author       = {Teijeiro, Carlos and Sutmann, Godehard and Taboada,
                      Guillermo L. and Tourino, Juan},
      title        = {{P}arallel {B}rownian {D}ynamics {S}imulation with {MPI},
                      {O}pen{MP} and {UPC}},
      volume       = {46},
      address      = {Jülich},
      publisher    = {John von Neumann Institute for Computing (NIC)},
      reportid     = {FZJ-2013-06600},
      isbn         = {978-3-89336-849-5},
      series       = {NIC Series},
      pages        = {25 - 40},
      year         = {2013},
      comment      = {Hybrid Particle-Continuum Methods in Computational
                      Materials Physics},
      booktitle     = {Hybrid Particle-Continuum Methods in
                       Computational Materials Physics},
      abstract     = {This work presents the design and implementation of a
                      parallel simulation code for the Brownian motion of
                      particles in a fluid. Three different parallelization
                      approaches have been followed: (1) traditional distributed
                      memory message-passing programming with MPI, (2) a
                      directivebased approach on shared memory with OpenMP, and
                      (3) the Partitioned Global Address Space (PGAS) programming
                      model, oriented towards hybrid shared/distributed memory
                      systems, with the Unified Parallel C (UPC) language.
                      According to the selected environment, different domain
                      decompositions and work distributions are studied in terms
                      of efficiency and programmability in order to select the
                      most suitable strategy. Performance results on different
                      testbeds and using a large number of threads are presented
                      in order to assess the performance and scalability of the
                      parallel solutions.},
      month         = {Mar},
      date          = {2013-03-04},
      organization  = {Hybrid Particle-Continuum Methods in
                       Computational Materials Physics,
                       Jülich (Germany), 4 Mar 2013 - 7 Mar
                       2013},
      cin          = {JSC},
      ddc          = {500},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {411 - Computational Science and Mathematical Methods
                      (POF2-411)},
      pid          = {G:(DE-HGF)POF2-411},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      url          = {https://juser.fz-juelich.de/record/141420},
}