Programmability: Design Costs and Payoffs using AMD GPU Streaming Languages and Traditional Multi-Core Libraries
University of Tennessee, Knoxville, TN
Symposium on Application Accelerators in High Performance Computing, 2009 (SAAHPC’09)
@article{weber2009programmability,
title={Programmability: Design Costs and Payoffs using AMD GPU Streaming Languages and Traditional Multi-Core Libraries},
author={Weber, Rick and Harrison, Robert J. and Peterson, Gregory D.},
booktitle={Application Accelerators in High Performance Computing, 2009 Symposium, Papers},
year={2009}
}
GPGPUs and multi-core processors have come to the forefront of interest in scientific computing. Graphics processors have become programmable, allowing exploitation of their large amounts of memory bandwidth and thread level parallelism in general purpose computing. This paper explores these two architectures, the languages used to program them, and the optimizations used to maximize performance in a memory bound chemistry application.
February 19, 2011 by hgpu
