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Accelerating the XGBoost algorithm using GPU computing

Published in PeerJ Computer Science • Jul 24, 2017
Authors:
Rory Mitchell
,
Eibe Frank

Abstract

We present a CUDA-based implementation of a decision tree construction algorithm within the gradient boosting library XGBoost. The tree construction algorithm is executed entirely on the graphics processing unit (GPU) and shows high performance with a variety of datasets and settings, including spar...

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