A software architecture for user transparent parallel image processing
Parallel Computing - Parallel computing in image and video processing
Efficient Applications in User Transparent Parallel Image Processing
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
The Lazy Programmer's Approach to Building a Parallel Image processing Library
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
A Software Architecture for User Transparent Parallel Image Processing on MIMD Computers
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
IEEE Transactions on Parallel and Distributed Systems
User Transparent Parallel Processing of the 2004 NIST TRECVID Data Set
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Parallel processing for image and video processing: Issues and challenges
Parallel Computing
High-performance SIMT code generation in an active visual effects library
Proceedings of the 6th ACM conference on Computing frontiers
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A software environment tailored to computer vision and image processing (CVIP) that focuses on how information about the CVIP problem domain can make the high-performance algorithms and the sophisticated algorithm techniques being designed by algorithm experts more readily available to CVIP researchers is presented. The environment consists of three principle components: DISC, Cloner, and Graph Matcher. DISC (dynamic intelligent scheduling and control) supports experimentation at the CVIP task level by creating a dynamic schedule from a user's specification of the algorithms that constitute a complex task. Cloner is aimed at the algorithm development process and is an interactive system that helps a user design new parallel algorithms by building on and modifying existing library algorithms. Graph Matcher performs the critical step of mapping new algorithms onto the target parallel architecture. Initial implementations of DISC and Graph Matcher have been completed, and work on Cloner is in progress