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

V. Wieser; B. Moser; S.-B. Scholz; S. Herhut; J. Guo

doi:10.1117/12.890920

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

V. Wieser, B. Moser, S.-B. Scholz, S. Herhut, J. Guo

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

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.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	International Society for Optical Engineering
Volume	80000A
ISBN (Print)	978-081948573-1
DOIs	https://doi.org/10.1117/12.890920
Publication status	Published - 1 Jan 2011
Event	Tenth International Conference on Quality Control by Artificial Vision - Saint-Etienne, France Duration: 28 Jun 2011 → 30 Jun 2011

Conference

Conference	Tenth International Conference on Quality Control by Artificial Vision
Country/Territory	France
City	Saint-Etienne
Period	28/06/11 → 30/06/11

Keywords

anisotropic diffusion
functional programming
hardware virtualization
parallel programming

Access to Document

10.1117/12.890920

Cite this

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title = "Combining high productivity and high performance in image processing using Single Assignment C",

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.",

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Wieser, V, Moser, B, Scholz, S-B, Herhut, S & Guo, J 2011, Combining high productivity and high performance in image processing using Single Assignment C. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 80000A, International Society for Optical Engineering, Tenth International Conference on Quality Control by Artificial Vision, Saint-Etienne, France, 28/06/11. https://doi.org/10.1117/12.890920

Combining high productivity and high performance in image processing using Single Assignment C. / Wieser, V.; Moser, B.; Scholz, S.-B. et al.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 80000A International Society for Optical Engineering, 2011.

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

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

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