Title
An Event-Based Execution Model for Efficient Image Processing on Workstation Clusters and the Grid
Abstract
The event model of the functional language CML (Concurrent Meta Language) is used to capture concurrency, which normally remains unexploited within conventional parallel geometric harnesses running on (virtual) arrays of processors. This complexity is hidden from the application programmer, who merely supplies conventional geometric sequential code which is automatically executed in parallel. An example of a low-level image filtering operation is used, to show how execution efficiency can be maintained in spite of the communication delays and indeterminacies encountered in real networks.
Year
DOI
Venue
2004
10.1109/ICPR.2004.164
ICPR (1)
Keywords
Field
DocType
application programmer,efficient image,real network,conventional geometric sequential code,workstation clusters,functional language,execution efficiency,event-based execution model,communication delay,concurrent meta language,low-level image,event model,conventional parallel geometric harness,image segmentation,functional languages,image processing,computational complexity,parallel programming
Functional programming,Concurrency,Computer science,Parallel computing,Image processing,Filter (signal processing),Image segmentation,Execution model,Grid,Computational complexity theory,Distributed computing
Conference
ISSN
ISBN
Citations 
1051-4651
0-7695-2128-2
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
D. J. Johnston100.34
Martin Fleury238057.38
Andy C. Downton312131.49