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@INPROCEEDINGS{Bozza:291318,
      author       = {Bozza, Cristiano and Kose, Umut and De Sio, Chiara and
                      Stellacci, Simona Maria},
      title        = {{GPU}-based quasi-real-time {T}rack {R}ecognition in
                      {I}maging {D}evices: from raw {D}ata to {P}article {T}racks},
      address      = {Hamburg},
      publisher    = {Deutsches Elektronen-Synchrotron, DESY},
      reportid     = {PUBDB-2015-05319, DESY-PROC-2014-05},
      pages        = {9-16},
      year         = {2015},
      abstract     = {Nuclear emulsions as tracking devices have been used by
                      recent experiments thanks to fast automatic microscopes for
                      emulsion readout. Automatic systems are evolving towards
                      GPU-based solutions. Real-time imaging is needed to drive
                      the motion of the microscope axes and 3D track recognition
                      occurs quasi-online in local GPU clusters. The algorithms
                      implemented in the Quick Scanning System are sketched. Most
                      of them are very general and might turn out useful for other
                      detector},
      month         = {Sep},
      date          = {2014-09-10},
      organization  = {GPU Computing in High-Energy Physics,
                       Pisa (Italy), 10 Sep 2014 - 12 Sep
                       2014},
      keywords     = {imaging (INSPIRE) / nuclear emulsion (INSPIRE) / track data
                      analysis (INSPIRE) / multiprocessor: graphics (INSPIRE) /
                      programming (INSPIRE)},
      cin          = {L},
      cid          = {I:(DE-H253)L-20120731},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      experiment   = {EXP:(DE-588)4443767-5},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)15},
      doi          = {10.3204/DESY-PROC-2014-05/2},
      url          = {https://bib-pubdb1.desy.de/record/291318},
}