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GPU implementations of Random Forest and Extremely randomized trees

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GPU decision tree ensembles gpuRF and gpuERT - Command line interface version

Related articles:
Jansson, K., Sundell, H., Boström, H. (2014), gpuRF and gpuERT: Efficient and Scalable GPU Algorithms for Decision Tree Ensembles. ParLearning, IEEE 28th International Parallel & Distributed Processing Symposium Workshops (IPDPSW), pp. 1612-1621, Phoenix, USA.

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Repository content:
- Compiled distributions can be found in the distributable folder.
- Source code is located in the source_trunk folder and includes premake
scripts to generate VS projects. The code is dependant on boost and CUDA, 
which requires some additional setup to make the project compile properly.

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- Initial commit

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