RUS  ENG
Full version
JOURNALS // Vestnik Yuzhno-Ural'skogo Universiteta. Seriya Matematicheskoe Modelirovanie i Programmirovanie // Archive

Vestnik YuUrGU. Ser. Mat. Model. Progr., 2011 Issue 10, Pages 82–89 (Mi vyuru188)

Computer Sciences

Parallel implementation of prediction algorithm in gradient boosting trees method

P. N. Druzhkov, N. Yu. Zolotykh, A. N. Polovinkin

N. I. Lobachevsky State University of Nizhni Novgorod (Russia, Nizhni Novgorod)

Abstract: Several variations of parallel implementations of one of the supervised learning algorithms, Gradient Boosting Trees (GBT), with the use of Intel Threading Building Blocks are described. Results of experimental comparison and performance analysis of different approaches to parallelization are discussed.

Keywords: gradient boosting trees, Intel Threading Building Blocks.

UDC: 004.852, 004.272.26

Received: 29.04.2011



© Steklov Math. Inst. of RAS, 2024