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2003
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Multi-Paradigm Framework for Parallel Image Processing

11 years 5 months ago
Multi-Paradigm Framework for Parallel Image Processing
A software framework for the parallel execution of sequential programs using C++ classes is presented. The functional language Concurrent ML is used to implement the underlying harness and to design the programming interfaces. The hardware-independent harness promises a composable multi-paradigm, unified approach to parallelism across different technologies: PowerPCs, DSPs and FPGAs. Performance results for an image processing case study are given. 1 A Parallel Framework This paper presents a software framework currently under development for the parallel execution of applications. The source of the application remains in a sequential form such as C++ with no annotations, language extensions, or library calls for parallelism. A framework in this context is defined to be the the totality of the software infrastructure that maps this sequential expression to parallel execution. The framework consists of application class hierarchies, a pre-compiler and an underlying “harness” whic...
David J. Johnston, Martin Fleury, Andy C. Downton
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where IPPS
Authors David J. Johnston, Martin Fleury, Andy C. Downton
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