% 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{Ammendola:291331,
      author       = {Ammendola, R. and Bauce, M. and Biagioni, A. and Chiozzi,
                      S. and Cotta Ramusino, A. and Fantechi, R. and Fiorini, M.
                      and Gianoli, A. and Graverini, E. and Lamanna, G. and
                      Lonardo, A. and Messina, A. and Neri, I. and Pantaleo, F.
                      and Paolucci, P. S. and Piandani, R. and Pontisso, L. and
                      Simula, F. and Sozzi, M. and Vicini, P.},
      title        = {{GPU}s for the realtime low-level trigger of the {NA}62
                      experiment at {CERN}},
      address      = {Hamburg},
      publisher    = {Deutsches Elektronen-Synchrotron, DESY},
      reportid     = {PUBDB-2015-05332, DESY-PROC-2014-05},
      pages        = {79-85},
      year         = {2015},
      abstract     = {A pilot project for the use of GPUs (Graphics processing
                      units) in online triggering ap- plications for high energy
                      physics experiments (HEP) is presented. GPUs offer a highly
                      parallel architecture and the fact that most of the chip
                      resources are devoted to computa- tion. Moreover, they allow
                      to achieve a large computing power using a limited amount of
                      space and power. The application of online parallel
                      computing on GPUs is shown for the synchronous low level
                      trigger of NA62 experiment at CERN. Direct GPU communication
                      using a FPGA-based board has been exploited to reduce the
                      data transmission latency and results on a first field test
                      at CERN will be highlighted. This work is part of a wider
                      project named GAP (GPU application project), intended to
                      study the use of GPUs in real-time applications in both HEP
                      and medical imagin},
      month         = {Sep},
      date          = {2014-09-10},
      organization  = {GPU Computing in High-Energy Physics,
                       Pisa (Italy), 10 Sep 2014 - 12 Sep
                       2014},
      keywords     = {trigger (INSPIRE) / NA62 (INSPIRE) / multiprocessor:
                      graphics (INSPIRE) / data management (INSPIRE) / performance
                      (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-2014-05/15},
      url          = {https://bib-pubdb1.desy.de/record/291331},
}