Combining high productivity and high performance in image processing using single assignment C

Author(s) Volkmar Wieser
Bernhard Moser
Sven-Bodo Scholz
Stephan Herhut
Jing Guo
Title Combining high productivity and high performance in image processing using single assignment C
Booktitle Proceedings of the 10th International Conference on Quality Control by Artificial Vision (QCAV'2011)
Typ Inproceedings
Month May
Year 2012
Volume 8000
Pages DOI: 10.1117/12.890920
Editor(s) J.-C. Pinoli, J. Debayle, Y. Gavet, F. Gruy, C. Lambert
Publisher SPIE
ISBN 978-081948573-1
SCCH # 1104
In this paper the problem of high performance software engineering is addressed in the context of image processing regarding productivity and optimized exploitation of hardware resources. Therefore, we introduce the functional array processing language Single Assignment C (SAC), which relies on a hardware virtualization concept for automated, parallel machine code generation. An illustrative benchmarking example proves both utility and adequacy of SAC for image processing.