Using GPUs for machine learning algorithms

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2005, Issue , 2005, Pages 1115-1120

  Steinkraus, Dave ^a   Buck, Ian ^b,c   Simard, Patrice Y ^a  

^a MICROSOFT RESEARCH   (United States)

^b STANFORD UNIVERSITY   (United States)

^c NVDIA Corporation   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC PROCESSING UNITS (GPU); MACHINE LEARNING ALGORITHMS;

COMPUTER SOFTWARE; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; PERSONAL COMPUTERS;

PROGRAM PROCESSORS;

EID: 33947399325     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.251     Document Type: Conference Paper

References (5)

1. M. Macedonia, "The GPU Enters Computing's Mainstream," IEEE Computer, 2003, pp. 106-108.
2. T.J. Purcell, I. Buck, W. Mark, & P. Hanrahan, "Ray Tracing on Programmable Graphics Hardware," ACM Transactions on Graphics, 21 (3), 2002, pp. 703-712.
3. J. Kruger, and R. Westermann, "Linear Operators for GPU Implementation of Numerical Algorithms," Proceedings of SIGGRAPH, San Diego, 2003, pp. 908-916.
4. J. Bolz, I. Farmer, E. Grinspun, & P. Schroder, "Sparse Matrix Solvers on the GPU: Conjugate Gradients and Multigrid,", Proceedings of SIGGRAPH, San Diego, 2003, pp. 917-924.
5. P. Y. Simard, D. Steinkraus, & J. Platt, "Best Practice for Convolutional Neural Networks Applied to Visual Document Analysis," International Conference on Document Analysis and Recognition (ICDAR), IEEE Computer Society, Los Alamitos, 2003, pp. 958-962.