Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14160
Title: High-level abstractions for message-passing parallel programming
Authors: Chan, F
Cao, J 
Sun, Y
Keywords: Cluster computing
Graph-oriented computing
Programming environments
Issue Date: 2003
Source: Parallel computing, 2003, v. 29, no. 11-12 SPEC.ISS., p. 1589-1621 How to cite?
Journal: Parallel Computing 
Abstract: Large-scale scientific and engineering computation problems are usually complex and consequently the development of parallel programs for solving these problems is a difficult task. In this paper, we describe the graph-oriented programming (GOP) model and environment for building and evaluating parallel applications. The GOP model provides higher level abstractions for message-passing parallel programming and the software environment offers tools which can ease programmers for parallelizing, writing, and deploying scientific and engineering computing applications. We discuss the motivations and various issues in developing the model and the software environment, present the design of the system architecture and the components, and describe the evaluation of the environment implemented on top of MPI with a sample parallel scientific application program. With the support of the high-level abstractions provided by the proposed GOP environment, programming of parallel applications on various parallel architectures can be greatly simplified.
URI: http://hdl.handle.net/10397/14160
ISSN: 0167-8191
DOI: 10.1016/j.parco.2003.05.008
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

18
Last Week
0
Last month
0
Citations as of Sep 9, 2017

WEB OF SCIENCETM
Citations

12
Last Week
0
Last month
0
Citations as of Sep 15, 2017

Page view(s)

36
Last Week
2
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.