GPU-Based Image Processing Use Cases: A High-Level Approach
International Conference on Parallel Computing (ParCo’2011), 2011
@article{wieser2011gpu,
title={GPU-Based Image Processing Use Cases: A High-Level Approach},
author={Wieser, V. and Grelck, C. and SCH{"O}NER, H. and Haslinger, P. and Bosa, K. and Moser, B.},
journal={Proceedings of ParCo2011},
publisher={IOS Press},
year={2011}
}
This paper addresses the gap between envisioned hardware-virtualized techniques for GPU programming and a conventional approach from the point of view of an application engineer taking software engineering aspects like maintainability, understandability and productivity, and resulting achieved gain in performance and scalability into account. This gap is discussed on the basis of use cases from the field of image processing, and illustrated by means of performance benchmarks as well as evaluations regarding software engineering productivity.
November 21, 2011 by hgpu
