Abstract | ||
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We present a uniform construct of parallel programmingfor a set of image processing tasks based on ourDistributed Computing Primitive #DCP# concept. Ourtarget architecture is a heterogeneous computing networksystem consisting of various high performanceworkstations connected through the local area network.We show that DCP has advantages over non-primitivePVM-based parallel programs in three aspects: easeof-use, automation, and optimization.1. INTRODUCTIONMost image processing... |
Year | DOI | Venue |
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1996 | 10.1109/ICIP.1996.560627 | INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL II |
Keywords | Field | DocType |
optimization,workstations,image processing algorithms,image processing,ease of use,parallel programming,automation,heterogeneous computing,high performance computing,local area network,concurrent computing,distributed computing,computer networks,local area networks,computer architecture | Data-intensive computing,Supercomputer,Computer science,Parallel computing,Workstation,Symmetric multiprocessor system,Image processing,Local area network,Concurrent computing,Digital image processing,Distributed computing | Conference |
Citations | PageRank | References |
4 | 0.65 | 5 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Prachya Chalermwat | 1 | 41 | 5.41 |
Nikitas Alexandridis | 2 | 26 | 4.32 |
Punpiti Piamsa-nga | 3 | 17 | 5.66 |
Malachy O'connell | 4 | 4 | 0.65 |