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Alexey Badalov, Daniel Campora, Gianmaria Collazuol, Marco Corvo, Stefano Gallorini, Alessio Gianelle, Elisabet Golobardes, Donatella Lucchesi, Anna Lupato, Niko Neufeld, Lorenzo Sestini, Rainer Schwemmer, Xavier Vilasis-Cardona
This note describes arguments to study the use general purpose graphic processing units to improve the performance of the LHCb trigger, presents the current developments in the integration into the Gaudi framework and the implementation of algorithms and points towards possible R and D directions.
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D. Emeliyanov, J. Howard
Results on the performance and viability of data-parallel algorithms on Graphics Processing Units (GPUs) in the ATLAS Level 2 trigger system are presented. We describe the existing trigger data preparation and track reconstruction algorithms, motivation for their optimization, GPU-parallelized versions of these algorithms, and a "client-server" solution for hybrid CPU/GPU event processing used for integration […]
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J. Mattmann and C. Schmitt
The reconstruction and simulation of collision events is a major task in modern HEP experiments involving several ten thousands of standard CPUs. On the other hand the graphics processors (GPUs) have become much more powerful and are by far outperforming the standard CPUs in terms of floating point operations due to their massive parallel approach. […]
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Martin Merck, Dmitry Chirkin, Juan Carlos Diaz Velez, Heath Skarlupka
GPGPU computing offers extraordinary increases in pure processing power for parallelizable applications. In IceCube we use GPUs for ray-tracing of cherenkov photons in the Antarctic ice as part of detector simulation. We report on how we implemented the mixed simulation production chain to include the processing on the GPGPU cluster for the IceCube Monte-Carlo production. […]
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M. {Al-Turany}, F. {Uhlig}, R. {Karabowicz}
FairRoot is the simulation and analysis framework used by CBM and PANDA experiments at FAIR/GSI. The use of graphics processor units (GPUs) for event reconstruction in FairRoot will be presented. The fact that CUDA (Nvidia’s Compute Unified Device Architecture) development tools work alongside the conventional C/C++ compiler, makes it possible to mix GPU code with […]

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