21 September 1998 Toolkit for parallel image processing
Author Affiliations +
In this paper, we present the design and implementation of a parallel image processing software library (the Parallel Image Processing Toolkit). The Toolkit not only supplies a rich set of image processing routines, it is designed principally as an extensible framework containing generalized parallel computational kernels to support image processing. Users can easily add their own image processing routines without knowledge or explicit use of the underlying data distribution mechanisms or parallel computing model. Shared memory and multi-level memory hierarchies are exploited to achieve high performance on each node, thereby minimizing overall parallel execution time. Multiple load balancing schemes have been implemented within the parallel framework that transparently distribute the computational load evenly on a distributed memory computing environment. Inside the Toolkit, a message-passing model of parallelism is designed around the Message Passing Interface standard. Experimental results are presented to demonstrate the parallel speedup obtained with the Parallel Image Processing Toolkit in a typical workstation cluster with some common image processing tasks.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffery M. Squyres, Jeffery M. Squyres, Andrew Lumsdaine, Andrew Lumsdaine, Robert L. Stevenson, Robert L. Stevenson, } "Toolkit for parallel image processing", Proc. SPIE 3452, Parallel and Distributed Methods for Image Processing II, (21 September 1998); doi: 10.1117/12.323475; https://doi.org/10.1117/12.323475


An Object To Capture Some Fuzzy Expertise
Proceedings of SPIE (April 05 1987)
Scalable architectures for image processing
Proceedings of SPIE (August 05 1993)
Synchronizing Large Systolic Arrays
Proceedings of SPIE (December 27 1982)
Cluster-based parallel image processing toolkit
Proceedings of SPIE (March 22 1995)

Back to Top