Combining high productivity and high performance in image processing using Single Assignment C
Wieser, V., Moser, B., Scholz, S.-B., Herhut, S. and Guo, J.
(2011)
Combining high productivity and high performance in image processing using Single Assignment C.
International Society for Optical Engineering.
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.
Item Type | Other |
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Keywords | anisotropic diffusion; functional programming; hardware virtualization; parallel programming |
Date Deposited | 29 May 2025 09:12 |
Last Modified | 29 May 2025 09:12 |