Acceleration of multivariate analysis techniques in TMVA using GPUs
CERN, Switzerland
Journal of Physics: Conference Series Volume 396, Part 2, 2012
A feasibility study into the acceleration of multivariate analysis techniques using Graphics Processing Units (GPUs) will be presented. The MLP-based Artificial Neural Network method contained in the TMVA framework has been chosen as a focus for investigation. It was found that the network training time on a GPU was lower than for CPU execution as the complexity of the network was increased. In addition, multiple neural networks can be trained simultaneously on a GPU within the same time taken for single network training on a CPU. This could be potentially leveraged to provide a qualitative performance gain in data classification.
December 16, 2012 by hgpu
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