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Algorithm Acceleration from GPGPUs for the ATLAS Upgrade

P.J. Clark, C. Jones, D. Emeilyanov, M. Rovatsou, A. Washbrook
School of Physics and Astronomy, The University of Edinburgh, James Clerk Maxwell Building, Mayfield Road, Edinburgh, EH9 3JZ, United Kingdom
Conference on Computing in High Energy and Nuclear Physics, 2010

@inproceedings{washbrook2010algorithm,

   title={Algorithm Acceleration from GPGPUs for the ATLAS Upgrade},

   author={Washbrook, A.},

   booktitle={Conference on Computing in High Energy and Nuclear Physics 2010, Taipei, Taiwan, 18-22 Oct 2010},

   year={2010}

}

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Feasibility studies into the use of GPUs have been performed on two key algorithms in the ATLAS High Level Trigger. A GPU-based version of the Z-finder routine was found to give up to 35 times speedup in the best case scenario, while a speed-up of over 5 times was observed in a GPU-based Kalman Filter routine. The potential acceleration gained from using GPUs should be considered in order to handle the much higher data rates anticipated in future operation of the ATLAS detector.
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