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@INPROCEEDINGS{Morgenstern:872622,
      author       = {Morgenstern, Laura and Beckmann, Andreas and Kabadshow, Ivo
                      and Werner -> Werner, Matthias},
      title        = {{T}asking {M}eets {GPU}s:{F}ighting {D}eadlocks and {O}ther
                      {M}onsters},
      reportid     = {FZJ-2020-00114},
      year         = {2019},
      abstract     = {Task parallelism is omnipresent these days; whether in data
                      mining or machine learning, for matrix factorization or even
                      molecular dynamics. Despite the successof task parallelism
                      on CPUs, there is currently no performant way to exploit
                      task parallelism of synchronization-critical algorithms on
                      GPUs.Hence, our goal is the development of a task-based
                      programming model to exploit fine-grained task parallelism
                      on heterogeneous hardware.},
      month         = {Jun},
      date          = {2019-06-12},
      organization  = {Platform for Advanced Scientific
                       Computing, Zurich (Switzerland), 12 Jun
                       2019 - 14 Jun 2019},
      subtyp        = {After Call},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / PhD no Grant - Doktorand ohne besondere
                      Förderung (PHD-NO-GRANT-20170405)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel1)PHD-NO-GRANT-20170405},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/872622},
}