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GPU-based Low-Level Trigger System for Real-Time Cherenkov Ring Fitting
A commercial Graphics Processing Unit (GPU) is used to build a fast Level 0 (L0) trigger system for the NA62 experiment at CERN. In particular, the parallel computing power of the GPU is exploited to perform real-time fitting in the Ring Imaging CHerenkov (RICH) detector for the L0 trigger of the NA...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1109/NSSMIC.2015.7581774 http://cds.cern.ch/record/2287310 |
| _version_ | 1780956035905748992 |
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| author | Ammendola, R Biagioni, A Chiozzi, S Cotta Ramusino, A Fantechi, R Fiorini, M Frezza, O Gianoli, A Lamanna, G Lo Cicero, F Lonardo, A Martinelli, M Neri, I Paolucci, P S Pastorelli, E Piandani, R Piccini, M Pontisso, L Rossetti, D Santoni, C Simula, F Sozzi, M Tosoratto, L Vicini, P |
| author_facet | Ammendola, R Biagioni, A Chiozzi, S Cotta Ramusino, A Fantechi, R Fiorini, M Frezza, O Gianoli, A Lamanna, G Lo Cicero, F Lonardo, A Martinelli, M Neri, I Paolucci, P S Pastorelli, E Piandani, R Piccini, M Pontisso, L Rossetti, D Santoni, C Simula, F Sozzi, M Tosoratto, L Vicini, P |
| author_sort | Ammendola, R |
| collection | CERN |
| description | A commercial Graphics Processing Unit (GPU) is used to build a fast Level 0 (L0) trigger system for the NA62 experiment at CERN. In particular, the parallel computing power of the GPU is exploited to perform real-time fitting in the Ring Imaging CHerenkov (RICH) detector for the L0 trigger of the NA62 experiment. Direct GPU communication using a FPGA-based board has been used to reduce the data transmission latency. The first result of multi-ring Cherenkov reconstrunction obtained during the NA62 physics run will be presented. |
| id | oai-inspirehep.net-1498845 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2016 |
| record_format | invenio |
| spelling | oai-inspirehep.net-14988452019-09-30T06:29:59Zdoi:10.1109/NSSMIC.2015.7581774http://cds.cern.ch/record/2287310engAmmendola, RBiagioni, AChiozzi, SCotta Ramusino, AFantechi, RFiorini, MFrezza, OGianoli, ALamanna, GLo Cicero, FLonardo, AMartinelli, MNeri, IPaolucci, P SPastorelli, EPiandani, RPiccini, MPontisso, LRossetti, DSantoni, CSimula, FSozzi, MTosoratto, LVicini, PGPU-based Low-Level Trigger System for Real-Time Cherenkov Ring FittingDetectors and Experimental TechniquesA commercial Graphics Processing Unit (GPU) is used to build a fast Level 0 (L0) trigger system for the NA62 experiment at CERN. In particular, the parallel computing power of the GPU is exploited to perform real-time fitting in the Ring Imaging CHerenkov (RICH) detector for the L0 trigger of the NA62 experiment. Direct GPU communication using a FPGA-based board has been used to reduce the data transmission latency. The first result of multi-ring Cherenkov reconstrunction obtained during the NA62 physics run will be presented.oai:inspirehep.net:14988452016 |
| spellingShingle | Detectors and Experimental Techniques Ammendola, R Biagioni, A Chiozzi, S Cotta Ramusino, A Fantechi, R Fiorini, M Frezza, O Gianoli, A Lamanna, G Lo Cicero, F Lonardo, A Martinelli, M Neri, I Paolucci, P S Pastorelli, E Piandani, R Piccini, M Pontisso, L Rossetti, D Santoni, C Simula, F Sozzi, M Tosoratto, L Vicini, P GPU-based Low-Level Trigger System for Real-Time Cherenkov Ring Fitting |
| title | GPU-based Low-Level Trigger System for Real-Time Cherenkov Ring Fitting |
| title_full | GPU-based Low-Level Trigger System for Real-Time Cherenkov Ring Fitting |
| title_fullStr | GPU-based Low-Level Trigger System for Real-Time Cherenkov Ring Fitting |
| title_full_unstemmed | GPU-based Low-Level Trigger System for Real-Time Cherenkov Ring Fitting |
| title_short | GPU-based Low-Level Trigger System for Real-Time Cherenkov Ring Fitting |
| title_sort | gpu-based low-level trigger system for real-time cherenkov ring fitting |
| topic | Detectors and Experimental Techniques |
| url | https://dx.doi.org/10.1109/NSSMIC.2015.7581774 http://cds.cern.ch/record/2287310 |
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