Gaspar: a compositional aspect-oriented approach for cluster applications-Reference-Cited by-同舟云学术

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Gaspar: a compositional aspect-oriented approach for cluster applications

Published:2015-10-07 Issue:8 Volume:28 Page:2353-2373
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Medeiros B.¹,Silva R.¹,Sobral J. L.¹

Affiliation:

1. Centro Algoritmi; Universidade do Minho; Braga Portugal

Funder

European Regional Development Fund (ERDF)

FCT - Fundao para a Ciłncia e a Tecnologia (Portuguese Foundation for Science and Technology)

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.3666/fullpdf

Reference33 articles.

1. Aspect-oriented programming

2. Harbulot B Gurd J Using AspectJ to separate concerns in parallel scientific Java code, Proceedings of the 3rd International Conference on Aspect-Oriented Software Development (AOSD '04) Lancaster, UK 2004 122 131

3. Harbulot B Gurd J A join point for loops in AspectJ Proceedings of the 5th International Conference on Aspect-oriented Software Development (AOSD '06), Bonn, Germany 2006 63 74

4. Sobral J Incrementally developing parallel applications with AspectJ Proceedings of the 20th International Conference on Parallel and Distributed Processing (IPDPS' 06) Rhodes Island, Greece 2006 116 116

5. Medeiros B Sobral J AOmpLib: an aspect library for large-scale parallel programming Proceeding 42nd International Conference on Parallel Processing (ICPP13) Lyon, France 2013 270 279

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient High-Level Programming in Plain Java;International Journal of Parallel Programming;2022-12-05

2. Gaspar Data-Centric Framework;High Performance Computing for Computational Science – VECPAR 2016;2017

3. Heterogeneous cluster architectures and applications;Concurrency and Computation: Practice and Experience;2016-01-21

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