Title :
Parallel image processing in heterogeneous computing network systems
Author :
Chalermwat, Prachya ; Alexandridis, Nikitas ; Piamsa-Nga, Punpiti ; O´Connell, Mabachy
Author_Institution :
Lab. of Parallel & Distributed Comput., George Washington Univ., Washington, DC, USA
Abstract :
We present a uniform construct of parallel programming for a set of image processing tasks based on our distributed computing primitive (DCP) concept. Our target architecture is a heterogeneous computing network system consisting of various high performance workstations connected through a local area network. We show that DCP has advantages over non-primitive PVM-based parallel approaches in three aspects: ease-of-use, automation, and optimization
Keywords :
image processing; local area networks; parallel architectures; parallel programming; workstations; DCP architecture; automation; distributed computing primitive; heterogeneous computing network systems; high performance workstations; image processing algorithms; local area network; nonprimitive PVM-based parallel; optimization; parallel image processing; parallel programming; target architecture; Automation; Computer architecture; Computer networks; Concurrent computing; Distributed computing; High performance computing; Image processing; Local area networks; Parallel programming; Workstations;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560627
