Parts | Days | Selection | Search | Updates | Downloads | Help
HK: Fachverband Physik der Hadronen und Kerne
HK 57: Instrumentierung
HK 57.2: Talk
Friday, March 21, 2014, 11:30–11:45, HZ 9
GPU Implementations of Online Track Finding Algorithms at PANDA — •Andreas Herten1, Tobias Stockmanns1, James Ritman1, Andrew Adinetz2, Dirk Pleiter2, and Jiri Kraus3 for the PANDA collaboration — 1Institut für Kernphysik, Forschungszentrum Jülich GmbH — 2Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH — 3NVIDIA GmbH
The PANDA experiment is a hadron physics experiment that will investigate antiproton annihilation in the charm quark mass region. The experiment is now being constructed as one of the main parts of the FAIR facility.
At an event rate of 2·107/s a data rate of 200 GB/s is expected. A reduction of three orders of magnitude is required in order to save the data for further offline analysis. Since signal and background processes at PANDA have similar signatures, no hardware-level trigger is foreseen for the experiment. Instead, a fast online event filter is substituting this element. We investigate the possibility of using graphics processing units (GPUs) for the online tracking part of this task. Researched algorithms are a Hough Transform, a track finder involving Riemann surfaces, and the novel, PANDA-specific Triplet Finder.
This talk shows selected advances in the implementations as well as performance evaluations of the GPU tracking algorithms to be used at the PANDA experiment.