Journal Article

FZJ-2016-01327

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Online Tracking Algorithms on GPUs for the P̅ANDA Experiment at FAIR

Bianchi, L. (Corresponding author)FZJ* ; Herten, A. (Corresponding author)FZJ* ; Ritman, J.FZJ* ; Stockmanns, T.FZJ* ; Adinetz, A.FZJ* ; Kraus, J. ; Pleiter, D.FZJ*

2015
IOP Publ. Bristol

This record in other databases:  

Please use a persistent id in citations: http://hdl.handle.net/2128/9796  doi:10.1088/1742-6596/664/8/082006

Abstract: P̅ANDA 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.

---

Contributing Institute(s):

1. Experimentelle Hadronstruktur (IKP-1)
2. Jülich Supercomputing Center (JSC)
3. JARA-FAME (JARA-FAME)

Research Program(s):

1. 612 - Cosmic Matter in the Laboratory (POF3-612) (POF3-612)
2. 6G12 - FAIR (POF3-624) (POF3-624)
3. 632 - Detector technology and systems (POF3-632) (POF3-632)

Appears in the scientific report 2015

---

Database coverage:
; ; ; ; Nationallizenz ; SCOPUS

---