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Proceedings Paper

Parallel computational environment for imaging science
Author(s): George I. Fann; Donald R. Jones; Elizabeth R. Jurrus; Brian D. Moon; Kenneth A. Perrine
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Paper Abstract

The Parallel Computational Environment for Imaging Science, PiCEIS is an image processing code designed for efficient execution on massively parallel computers. Through effective use of the aggregate resources of such computers PiCEIS enables much larger and more accurate production processing using existing off the shelf hardware. A goal of PiCEIS is to decrease the difficulty of writing scalable parallel programs and reduce the time to add new functionalities. In part this is accomplished by the PiCEIS architecture, its ability to easily add additional modules, and also through the use of a non-uniform memory access (NUMA) programming model based upon one-sided access to distributed shared memory. In this paper we briefly describe the PiCEIS architecture, our NUMA programming tools, and examine some typical techniques and algorithms.

Paper Details

Date Published: 21 November 2002
PDF: 8 pages
Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); doi: 10.1117/12.456709
Show Author Affiliations
George I. Fann, Pacific Northwest National Lab. (United States)
Donald R. Jones, Pacific Northwest National Lab. (United States)
Elizabeth R. Jurrus, Pacific Northwest National Lab. (United States)
Brian D. Moon, Pacific Northwest National Lab. (United States)
Kenneth A. Perrine, Pacific Northwest National Lab. (United States)


Published in SPIE Proceedings Vol. 4790:
Applications of Digital Image Processing XXV
Andrew G. Tescher, Editor(s)

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