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000281639 041__ $$aEnglish
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000281639 1001_ $$0P:(DE-Juel1)162317$$aBianchi, L.$$b0$$eCorresponding author
000281639 245__ $$aOnline Tracking Algorithms on GPUs for the P̅ANDA Experiment at FAIR
000281639 260__ $$aBristol$$bIOP Publ.$$c2015
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000281639 520__ $$aP̅ANDA is a future hadron and nuclear physics experiment at the FAIR facility in construction in Darmstadt, Germany. In contrast to the majority of current experiments, PANDA's strategy for data acquisition is based on event reconstruction from free-streaming data, performed in real time entirely by software algorithms using global detector information. This paper reports the status of the development of algorithms for the reconstruction of charged particle tracks, optimized online data processing applications, using General-Purpose Graphic Processing Units (GPU). Two algorithms for trackfinding, the Triplet Finder and the Circle Hough, are described, and details of their GPU implementations are highlighted. Average track reconstruction times of less than 100 ns are obtained running the Triplet Finder on state-of- the-art GPU cards. In addition, a proof-of-concept system for the dispatch of data to tracking algorithms using Message Queues is presented.
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000281639 7001_ $$0P:(DE-Juel1)145478$$aHerten, A.$$b1$$eCorresponding author
000281639 7001_ $$0P:(DE-Juel1)131301$$aRitman, J.$$b2$$ufzj
000281639 7001_ $$0P:(DE-Juel1)131347$$aStockmanns, T.$$b3$$ufzj
000281639 7001_ $$0P:(DE-HGF)0$$aAdinetz, A.$$b4
000281639 7001_ $$0P:(DE-HGF)0$$aKraus, J.$$b5
000281639 7001_ $$0P:(DE-Juel1)144441$$aPleiter, D.$$b6$$ufzj
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