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IceCubes GPGPU’s cluster for extensive MC production

Martin Merck, Dmitry Chirkin, Juan Carlos Diaz Velez, Heath Skarlupka
University of Wisconsin Madison, Madison, WI 53703 USA
Journal of Physics: Conference Series 396 022046, 2012

@article{1742-6596-396-2-022046,

   author={Martin Merck and Dmitry Chirkin and Juan Carlos Diaz Velez and Heath Skarlupka},

   title={IceCubes GPGPU’s cluster for extensive MC production},

   journal={Journal of Physics: Conference Series},

   volume={396},

   number={2},

   pages={022046},

   url={http://stacks.iop.org/1742-6596/396/i=2/a=022046},

   year={2012}

}

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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. We also present ideas to include GPGPU accelerated reconstructions into the IceCube data processing.
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