2008 | OriginalPaper | Buchkapitel
A SIMD Interpreter for Genetic Programming on GPU Graphics Cards
verfasst von : W. B. Langdon, Wolfgang Banzhaf
Erschienen in: Genetic Programming
Verlag: Springer Berlin Heidelberg
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Mackey-Glass chaotic time series prediction and nuclear protein classification show the feasibility of evaluating genetic programming populations
directly
on parallel consumer gaming graphics processing units. Using a Linux KDE computer equipped with an nVidia GeForce 8800 GTX graphics processing unit card the C++ SPMD interpretter evolves programs at Giga GP operations per second (895 million GPops). We use the RapidMind general processing on GPU (GPGPU) framework to evaluate an entire population of a quarter of a million individual programs on a non-trivial problem in 4 seconds. An efficient reverse polish notation (RPN) tree based GP is given.