Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning

Authors:
Ahmed Zein;Eric Mccreath;Alistair Rendell;Alex Smola
Affiliations:
Dept. of Computer Science, Australian National University, Canberra, Australia;Dept. of Computer Science, Australian National University, Canberra, Australia;Dept. of Computer Science, Australian National University, Canberra, Australia;NICTA, Statistical Machine Learning Program, Canberra, Australia
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Year:
2008

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Abstract

NVIDIA have released a new platform (CUDA) for general purpose computing on their graphical processing units (GPU). This paper evaluates use of this platform for statistical machine learning applications. The transfer rates to and from the GPU are measured, as is the performance of matrix vector operations on the GPU. An implementation of a sparse matrix vector product on the GPU is outlined and evaluated. Performance comparisons are made with the host processor.