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HK: Fachverband Physik der Hadronen und Kerne
HK 14: Instrumentation III
HK 14.6: Vortrag
Montag, 14. März 2016, 17:45–18:00, S1/01 A3
Parallel Algorithms for Online Trackfinding at PANDA — •Ludovico Bianchi1, Andreas Herten2, James Ritman1, and Tobias Stockmanns1 for the PANDA collaboration — 1IKP, Forschungszentrum Jülich GmbH — 2JSC, Forschungszentrum Jülich GmbH
The PANDA experiment, one of the four scientific pillars of the FAIR facility currently in construction in Darmstadt, is a next-generation particle detector that will study collisions of antiprotons with beam momenta of 1.5--15 GeV/c on a fixed proton target.
Because of the broad physics scope and the similar signature of signal and background events, PANDA's strategy for data acquisition is to continuously record data from the whole detector and use this global information to perform online event reconstruction and filtering. A real-time rejection factor of up to 1000 must be achieved to match the incoming data rate for offline storage, making all components of the data processing system computationally very challenging.
Online particle track identification and reconstruction is an essential step, since track information is used as input in all following phases. Online tracking algorithms must ensure a delicate balance between high tracking efficiency and quality, and minimal computational footprint. For this reason, a massively parallel solution exploiting multiple Graphic Processing Units (GPUs) is under investigation.
The talk will present the core concepts of the algorithms being developed for primary trackfinding, along with details of their implementation on GPUs.