Title: OpenCL implementation of the Kullback-Leibler divergence for weighted samples
Authors: Poppe, Koen ×
Cools, Ronald
Bruyninckx, Herman #
Issue Date: Feb-2010
Conference: SIAM Conference on Parallel Processing for Scientific Computing location:Seattle, Washington, U.S. date:24-26 February 2010
Abstract: Graphic cards provides enormous amounts of parallel computing power. However, actually using it is sometimes rather technical. We consider the Kullback-Leibler divergence, a measure for the similarity between to sample sets, that is studied in the context of particle filters. Using the OpenCL standard, we were able to add a GPU accelerated implementation to our open source Bayesian Filtering Library (BFL) in a portable fashion and observed speedups of up to 40 (relative to C++).
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Numerical Analysis and Applied Mathematics Section
Production Engineering, Machine Design and Automation (PMA) Section
× corresponding author
# (joint) last author

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