Global Optimization for Mapping Parallel Image Processing Tasks on Distributed Memory Machines

Many parallel algorithms and library routines for computer vision and image processing (CVIP) tasks on distributed-memory multiprocessors are available. The typical image distribution may use column, row, and block based mapping. Integrating a set of library routines for a CVIP application requires...

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Vydané v:	Journal of parallel and distributed computing Ročník 45; číslo 1; s. 29 - 45
Hlavní autori:	Lee, Cheolwhan, Wang, Yuan-Fang, Yang, Tao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	San Diego, CA Elsevier Inc 25.08.1997 Elsevier
Predmet:	Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Computer science; control theory; systems Computer systems and distributed systems. User interface Exact sciences and technology Pattern recognition. Digital image processing. Computational geometry Software Theoretical computing Program graph Computer vision Parallel algorithm Distributed memory multiprocessor system Algorithm performance Image processing Mapping Experimental study Computational complexity Implementation Optimization
ISSN:	0743-7315, 1096-0848
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