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001     291325
005     20211110132609.0
024 7 _ |a arXiv:1411.3968
|2 arXiv
024 7 _ |a 10.3204/DESY-PROC-2014-05/12
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024 7 _ |a inspire:1328059
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088 1 _ |a arXiv:1411.3968
088 _ _ |a arXiv:1411.3968
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100 1 _ |a Bouhadef, Bachir
|b 0
111 2 _ |a GPU Computing in High-Energy Physics
|g GPUHEP2014
|c Pisa
|d 2014-09-10 - 2014-09-12
|w Italy
245 _ _ |a Parallel Neutrino Triggers using GPUs for an underwater telescope
260 _ _ |c 2015
|b Deutsches Elektronen-Synchrotron, DESY
|a Hamburg
300 _ _ |a 64-70
336 7 _ |a Conference Paper
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336 7 _ |a Internal Report
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336 7 _ |a INPROCEEDINGS
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520 _ _ |a Graphics Processing Units are high performance co-processors originally intended to improve the use and the acceleration of computer graphics applications. Because of their performance, researchers have extended their use beyond the computer graphics scope. We have investigated the possibility of implementing online neutrino trigger algorithms in the KM3Net-It experiment using a CPU-GPU system. The results of a neutrino trigger simulation on a NEMO Phase II tower and a KM3-It 14 floors tower are reported.
536 _ _ |a 899 - ohne Topic (POF3-899)
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588 _ _ |a Dataset connected to INSPIRE
650 _ 7 |a neutrino: trigger
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650 _ 7 |a multiprocessor: graphics
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650 _ 7 |a performance
|2 INSPIRE
650 _ 7 |a Neutrino Ettore Majorana Observatory
|2 INSPIRE
650 _ 7 |a programming
|2 INSPIRE
650 _ 7 |a KM3NeT
|2 INSPIRE
650 _ 7 |a numerical calculations
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693 _ _ |a HERA
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700 1 _ |a Morganti, Mauro
|b 1
700 1 _ |a Terreni, Giuseppe
|b 2
700 1 _ |a KM3Net-It Collaboration
|0 P:(DE-HGF)0
|b 3
|e Collaboration author
773 _ _ |a 10.3204/DESY-PROC-2014-05/12
787 0 _ |a Bonati, Claudio et.al.
|d Deutsches Elektronen-Synchrotron, DESY, Hamburg, 2014
|i IsPartOf
|0 PUBDB-2015-05317
|r DESY-PROC-2014-05
|t Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014
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914 1 _ |y 2015
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