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@ARTICLE{Bianchi:281639,
author = {Bianchi, L. and Herten, A. and Ritman, J. and Stockmanns,
T. and Adinetz, A. and Kraus, J. and Pleiter, D.},
title = {{O}nline {T}racking {A}lgorithms on {GPU}s for the
{P}̅{ANDA} {E}xperiment at {FAIR}},
journal = {Journal of physics / Conference Series},
volume = {664},
number = {8},
issn = {1742-6596},
address = {Bristol},
publisher = {IOP Publ.},
reportid = {FZJ-2016-01327},
pages = {082006 -},
year = {2015},
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.},
cin = {IKP-1 / JSC / JARA-FAME},
ddc = {530},
cid = {I:(DE-Juel1)IKP-1-20111104 / I:(DE-Juel1)JSC-20090406 /
$I:(DE-82)080023_20140620$},
pnm = {612 - Cosmic Matter in the Laboratory (POF3-612) / 6G12 -
FAIR (POF3-624) / 632 - Detector technology and systems
(POF3-632)},
pid = {G:(DE-HGF)POF3-612 / G:(DE-HGF)POF3-6G12 /
G:(DE-HGF)POF3-632},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000372140603018},
doi = {10.1088/1742-6596/664/8/082006},
url = {https://juser.fz-juelich.de/record/281639},
}