Graphics Processor Clusters for High Speed Backpropagation
Sensors and Electromagnetic Applications Laboratory, Georgia Tech Research Institute
Fifteenth Annual Workshop High Performance Embedded Computing (HPEC 2011), 2011
@article{campbell2011graphics,
title={Graphics Processor Clusters for High Speed Backpropagation},
author={Campbell, D.P. and Benson, T.M. and Cook, D.A.},
year={2011}
}
This paper describes the use of GPU clusters to accelerate backpropagation for Synthetic Aperture Sonar (SAS) systems. We extended a GPU-based implementation of backpropagation to support clusters of GPU-enhanced nodes. The GPU accelerated implementation formed a 3,936 x 3,936 SAS image from 60s of sonar data in under 12s using a single GTX480, and under 3s on a small cluster with 8 Tesla C2050s. Our presentation will discuss the details of our implementation, describe our optimizations, and show performance for various image sizes and execution platforms.
January 14, 2012 by hgpu
