3413

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Joshua C. Bowden
CSIRO Information Management and Technology, Clayton, Australia
Sixth IEEE International Conference on e-Science Workshops, 2010

@conference{bowden2010application,

   title={Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets},

   author={Bowden, J.C.},

   booktitle={2010 Sixth IEEE International Conference on e-Science Workshops},

   pages={25–30},

   year={2010},

   organization={IEEE}

}

Download Download (PDF)   View View   Source Source   

1822

views

An implementation of the nonlinear iterative partial least squares algorithm (NIPALS) was used as a test case for use of OpenCL for computation on a general purpose graphics processing unit (GPGPU) cluster using MPI. Timing results are shown along with results of a model of time required per iteration for defined problem sizes. Various steps in optimization of the code are discussed, moving from use of a single GPU, to multiple GPUs on a single node, to multiple GPUs on multiple nodes. Comparison of performance between OpenCL and BLAS implementations, modern CPU architectures and NVidia Tesla and Fermi class GPU systems are given.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Contact us: