7562

A GPU-Accelerated Algorithm for Self-Organizing Maps in a Distributed Environment

Peter Wittek, Sandor Daranyi
Swedish School of Library and Information Science, University of Boras, Boras, Sweden
20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN-12), 2012

@article{wittek2012gpu,

   title={A GPU-Accelerated Algorithm for Self-Organizing Maps in a Distributed Environment},

   author={Wittek, P. and Dar{‘a}nyi, S.},

   year={2012}

}

In this paper we introduce a MapReduce-based implementation of self-organizing maps that performs compute-bound operations on distributed GPUs. The kernels are optimized to ensure coalesced memory access and effective use of shared memory. We have performed extensive tests of our algorithms on a cluster of eight nodes with two NVidia Tesla M2050 attached to each, and we achieve a 10x speedup for self-organizing maps over a distributed CPU algorithm.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: