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.File | Dimensione | Formato | |
---|---|---|---|
Ammendola_Fast algorithm_2015.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
799.38 kB
Formato
Adobe PDF
|
799.38 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.