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

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

161

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560627

Filename

560627