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Proceedings Article

Combining high productivity and high performance in image processing using Single Assignment C

[+] Author Affiliations
Volkmar Wieser, Bernhard Moser

Software Competence Ctr. Hagenberg (Austria)

Sven-Bodo Scholz, Stephan Herhut, Jing Guo

Univ. of Hertfordshire (United Kingdom)

Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000A (July 12, 2011); doi:10.1117/12.890920
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From Conference Volume 8000

  • Tenth International Conference on Quality Control by Artificial Vision
  • Jean-Charles Pinoli; Johan Debayle; Yann Gavet; Frédéric Gruy; Claude Lambert
  • Saint-Etienne, France | June 28, 2011

abstract

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.

© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Volkmar Wieser ; Bernhard Moser ; Sven-Bodo Scholz ; Stephan Herhut and Jing Guo
"Combining high productivity and high performance in image processing using Single Assignment C", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000A (July 12, 2011); doi:10.1117/12.890920; http://dx.doi.org/10.1117/12.890920


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