Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22786
Title: Visual programming support for graph-oriented parallel/distributed processing
Authors: Chan, F
Cao, J 
Chan, ATS 
Zhang, K
Keywords: Cluster computing
Graph-oriented model
Parallel and distributed processing
Programming environment
Issue Date: 2005
Publisher: John Wiley & Sons Ltd
Source: Software - practice and experience, 2005, v. 35, no. 15, p. 1409-1439 How to cite?
Journal: Software - Practice and Experience 
Abstract: GOP is a graph-oriented programming model which aims at providing high-level abstractions 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.
URI: http://hdl.handle.net/10397/22786
ISSN: 0038-0644
DOI: 10.1002/spe.676
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