21 November 2002 Parallel computational environment for imaging science
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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.
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George I. Fann, Donald R. Jones, Elizabeth R. Jurrus, Brian D. Moon, Kenneth A. Perrine, "Parallel computational environment for imaging science", Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); doi: 10.1117/12.456709; http://dx.doi.org/10.1117/12.456709
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KEYWORDS
Image processing

Computing systems

Computer programming

Data modeling

Visualization

Data communications

Human-machine interfaces

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