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001     291338
005     20211110132609.0
024 7 _ |a 10.3204/DESY-PROC-2014-05/21
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088 _ _ |a DESY-PROC-2014-05
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100 1 _ |a Ariga, Akitaka
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111 2 _ |a GPU Computing in High-Energy Physics
|g GPUHEP2014
|c Pisa
|d 2014-09-10 - 2014-09-12
|w Italy
245 _ _ |a Fast 3D tracking with GPUs for analysis of antiproton annihilations in emulsion detectors
260 _ _ |c 2015
|b Deutsches Elektronen-Synchrotron, DESY
|a Hamburg
300 _ _ |a 119-124
336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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520 _ _ |a Fast 3D particle tracking has been a challenge in particle physics for a long time. In particular, the data rate from emulsion detectors is recently about 10-100 TB/day from one microscope. Real-time 3D volume processing and track reconstruction of such a huge data need a large amount of computation, in which the GPU technology plays an essential role. A fast 4 π solid angle particle tracking based on GPU technology has been developed for the reconstruction of antiproton annihilations. The results in speed are compared between the multithread CPU processing and the multi-GPU one. By employing multiple GPUs, about two orders of magnitude faster processing has been achieved with an excellent tracking performance in comparison with a single-thread CPU processing
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588 _ _ |a Dataset connected to DataCite, INSPIRE
650 _ 7 |a anti-p p: annihilation
|2 INSPIRE
650 _ 7 |a track data analysis
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650 _ 7 |a performance
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650 _ 7 |a nuclear emulsion
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650 _ 7 |a dimension: 3
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650 _ 7 |a multiprocessor: graphics
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650 _ 7 |a microprocessor
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773 _ _ |a 10.3204/DESY-PROC-2014-05/21
787 0 _ |a Bonati, Claudio et.al.
|d Deutsches Elektronen-Synchrotron, DESY, Hamburg, 2014
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|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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