High-Performance Quality Inspection of Industrial Textile Fabrics by 3D Profile Analysis [texQuality3D]
Project Lead
Project Duration
01/07/2010 - 30/06/2012Publications
2011
[Bósa]
GPU-Based Image Processing Use Cases: A High-Level Approach
Volkmar Wieser, Clemens Grelck, Holger Schoner, Peter Haslinger, Karoly Bosa, Bernhard Moser
In: Proceedings of ParCo2011, - (ed.), Proceedings of International Conference on Parallel Computing 2011, Advances in Parallel Computing , pp. -. September 2011. IOS Press, 0. [url] [pdf]@inproceedings{RISC4391,
author = {Volkmar Wieser and Clemens Grelck and Holger Schoner and Peter Haslinger and Karoly Bosa and Bernhard Moser},
title = {{GPU-Based Image Processing Use Cases: A High-Level Approach}},
booktitle = {{Proceedings of ParCo2011}},
language = {english},
abstract = {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.},
series = {Advances in Parallel Computing},
pages = {--},
publisher = {IOS Press},
isbn_issn = {0},
year = {2011},
month = {September},
editor = {-},
refereed = {yes},
keywords = {GPU, Image Processing, Cuda, Support Vector Machine, SAC},
length = {8},
conferencename = {International Conference on Parallel Computing 2011},
url = {http://parco2011.elis.ugent.be/}
}
author = {Volkmar Wieser and Clemens Grelck and Holger Schoner and Peter Haslinger and Karoly Bosa and Bernhard Moser},
title = {{GPU-Based Image Processing Use Cases: A High-Level Approach}},
booktitle = {{Proceedings of ParCo2011}},
language = {english},
abstract = {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.},
series = {Advances in Parallel Computing},
pages = {--},
publisher = {IOS Press},
isbn_issn = {0},
year = {2011},
month = {September},
editor = {-},
refereed = {yes},
keywords = {GPU, Image Processing, Cuda, Support Vector Machine, SAC},
length = {8},
conferencename = {International Conference on Parallel Computing 2011},
url = {http://parco2011.elis.ugent.be/}
}
