Online Tracking Algorithms on GPUs for the P?ANDA Experiment at FAIR

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Bianchi, L.^1 ; Herten, A.^1 ; Ritman, J.^1 ; Stockmanns, T.^1 ; Adinetz, A.^2 ; Kraus, J.^3 ; Pleiter, D.^2

IKP, Forschungszentrum Julich, Germany^1

JSC, Forschungszentrum Julich, Germany^2

NVIDIA GmbH, Germany^3

关键词: Event reconstruction;    General purpose graphic processing units;    GPU implementation;    Online data processing;    Physics experiments;    Software algorithms;    Track reconstruction;    Tracking algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/8/082006/pdf
DOI  :  10.1088/1742-6596/664/8/082006

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

PANDA 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.