Visual programming support for graph-oriented parallel/distributed processing

GOP is a graph‐oriented programming model which aims at providing high‐level ions for configuring and programming cooperative parallel processes. With GOP, the programmer can configure the logical structure of a parallel/distributed program by constructing a logical graph to represent the communicat...

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Vydáno v:Software, practice & experience Ročník 35; číslo 15; s. 1409 - 1439
Hlavní autoři: Chan, Fan, Cao, Jiannong, Chan, Alvin T. S., Zhang, Kang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester, UK John Wiley & Sons, Ltd 01.12.2005
Témata:
cluster computing
graph-oriented model
parallel and distributed processing
programming environment
ISSN:0038-0644, 1097-024X
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Shrnutí:GOP is a graph‐oriented programming model which aims at providing high‐level ions for configuring and programming cooperative parallel processes. With GOP, the programmer can configure the logical structure of a parallel/distributed program by constructing a logical graph to represent the communication and synchronization between the local programs in a distributed processing environment. This paper describes a visual programming environment, called VisualGOP, for the design, coding, and execution of GOP programs. VisualGOP applies visual techniques to provide the programmer with automated and intelligent assistance throughout the program design and construction process. It provides a graphical interface with support for interactive graph drawing and editing, visual programming functions and automation facilities for program mapping and execution. VisualGOP is a generic programming environment independent of programming languages and platforms. GOP programs constructed under VisualGOP can run in heterogeneous parallel/distributed systems. Copyright © 2005 John Wiley & Sons, Ltd.
Bibliografie:istex:FB5927A75A41DD14680AC6AC9A75C369770B3DDD
Hong Kong Polytechnic University - No. H-ZJ80
ark:/67375/WNG-TQKTQ8TQ-3
ArticleID:SPE676
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0038-0644
1097-024X
DOI:10.1002/spe.676