The GAP project is dedicated to study the application of GPU in several contexts in which real-time response is important to take decisions. The definition of real-time depends on the application under study, ranging from answer time of μs up to several hours in case of very computing intensive task. During this conference we presented our work in low level triggers [1] [2] and high level triggers [3] in high energy physics experiments, and specific application for nuclear magnetic resonance (NMR) [4] [5] and cone-beam CT [6]. Apart from the study of dedicated solution to decrease the latency due to data transport and preparation, the computing algorithms play an essential role in any GPU application. In this contribution, we show an original algorithm developed for triggers application, to accelerate the ring reconstruction in RICH detector when it is not possible to have seeds for reconstruction from external trackers.

Fast algorithm for real-time rings reconstruction / Ammendola, R.; Bauce, M.; Biagioni, A.; Capuani, S.; Chiozzi, S.; Cotta Ramusino, A.; Di Domenico, G.; Fantechi, R.; Fiorini, M.; Giagu, S.; Gianoli, A.; Graverini, E.; Lamanna, G.; Lonardo, A.; Messina, A.; Neri, I.; Palombo, M.; Pantaleo, F.; Paolucci, P. S.; Piandani, R.; Pontisso, L.; Rescigno, M.; Simula, F.; Sozzi, M.; Vicini, P.. - (2015), pp. 225-233. (Intervento presentato al convegno GPUHEP2014 tenutosi a Pisa, Italia) [10.3204/desy-proc-2014-05/42].

Fast algorithm for real-time rings reconstruction.

M. Bauce;S. Capuani;S. Giagu;A. Lonardo;A. Messina;M. Rescigno;F. Simula;P. Vicini
2015

Abstract

The GAP project is dedicated to study the application of GPU in several contexts in which real-time response is important to take decisions. The definition of real-time depends on the application under study, ranging from answer time of μs up to several hours in case of very computing intensive task. During this conference we presented our work in low level triggers [1] [2] and high level triggers [3] in high energy physics experiments, and specific application for nuclear magnetic resonance (NMR) [4] [5] and cone-beam CT [6]. Apart from the study of dedicated solution to decrease the latency due to data transport and preparation, the computing algorithms play an essential role in any GPU application. In this contribution, we show an original algorithm developed for triggers application, to accelerate the ring reconstruction in RICH detector when it is not possible to have seeds for reconstruction from external trackers.
2015
GPUHEP2014
gpu; real-time; triggers
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Fast algorithm for real-time rings reconstruction / Ammendola, R.; Bauce, M.; Biagioni, A.; Capuani, S.; Chiozzi, S.; Cotta Ramusino, A.; Di Domenico, G.; Fantechi, R.; Fiorini, M.; Giagu, S.; Gianoli, A.; Graverini, E.; Lamanna, G.; Lonardo, A.; Messina, A.; Neri, I.; Palombo, M.; Pantaleo, F.; Paolucci, P. S.; Piandani, R.; Pontisso, L.; Rescigno, M.; Simula, F.; Sozzi, M.; Vicini, P.. - (2015), pp. 225-233. (Intervento presentato al convegno GPUHEP2014 tenutosi a Pisa, Italia) [10.3204/desy-proc-2014-05/42].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1216483
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