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Abstract: The paper presents a data and task parallel low-level image processing environment for distributed memory systems. Image processing operators are parallelized by data decomposition using algorithmic skeletons. At the application level we use task decomposition, based on the Image Application Task Graph. In this way, an image processing application can be parallelized both by data and task decomposition, and thus beter speed-ups can be obtained. We validate our method on the multi-baseline... (Update)
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BibTeX entry: (Update)
C. Nicolescu et al. A Data and Task Parallel Image Processing Environment. Par. Comp., 28(7-8):945--965, 2002. http://citeseer.ist.psu.edu/article/nicolescu01data.html More
@article{ nicolescu01data,
author = "Cristina Nicolescu and Pieter Jonker",
title = "A Data and Task Parallel Image Processing Environment",
journal = "Lecture Notes in Computer Science",
volume = "2131",
pages = "393--??",
year = "2001",
url = "citeseer.ist.psu.edu/article/nicolescu01data.html" }
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5 The cmu task parallel program suite (context) - Webb - 1994
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