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@INPROCEEDINGS{Adinets:153430,
      author       = {Adinets, Andrey and Kraus, Jiri and Axer, Markus and
                      Huysegoms, Marcel and Köhnen, Stefan and Pleiter, Dirk},
      title        = {{C}omputation of {M}utual {I}nformation {M}etric for
                      {I}mage {R}egistration on {M}ultiple {GPU}s},
      volume       = {8374},
      address      = {Berlin, Heidelberg},
      publisher    = {Springer Berlin Heidelberg},
      reportid     = {FZJ-2014-03047},
      isbn         = {978-3-642-54419-4 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {208 - 217},
      year         = {2014},
      comment      = {Euro-Par 2013: Parallel Processing Workshops},
      booktitle     = {Euro-Par 2013: Parallel Processing
                       Workshops},
      abstract     = {Because of their computational power, GPUs are widely used
                      in the field of image processing. Registration of brain
                      images has already been successfully accelerated with GPUs,
                      but registration of high-resolution human brain images
                      presents new challenges due to large amounts of data and
                      images not fitting in the memory of a single device.In this
                      paper, we address this issue with two approaches. The first
                      approach replicates image data in system memory of each node
                      and distributes only a part of the data over multiple GPUs.
                      The second approach splits image data between multiple GPUs,
                      and overlaps computation and communication to hide latency.
                      For both approaches, we present a performance analysis and
                      comparison.},
      month         = {Aug},
      date          = {2013-08-25},
      organization  = {Euro-Par 2013: Parallel Processing
                       Workshops, Aachen (Germany), 25 Aug
                       2013 - 30 Aug 2013},
      cin          = {JSC / INM-1},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)INM-1-20090406},
      pnm          = {41G - Supercomputer Facility (POF2-41G21) / SMHB -
                      Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017)},
      pid          = {G:(DE-HGF)POF2-41G21 / G:(DE-Juel1)HGF-SMHB-2013-2017},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-642-54420-0_21},
      url          = {https://juser.fz-juelich.de/record/153430},
}