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An Annotation-Based Framework for Parallel Computing
Naples, Italy February 07-February 09
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDP.2007.2015th Euromicro International Conferen ...
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C. A. Cunha, J. L. Sobral, "An Annotation-Based Framework for Parallel Computing," Parallel, Distributed, and Network-Based Processing, Euromicro Conference on, pp. 113-120, 15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP'07), 2007.
 
 
BibTex
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@article{ 10.1109/PDP.2007.20,
author = {C. A. Cunha and J. L. Sobral},
title = {An Annotation-Based Framework for Parallel Computing},
journal ={Parallel, Distributed, and Network-Based Processing, Euromicro Conference on},
volume = {0},
year = {2007},
issn = {1066-6192},
pages = {113-120},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDP.2007.20},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
TI - An Annotation-Based Framework for Parallel Computing
SN - 1066-6192
SP113
EP120
A1 - C. A. Cunha,
A1 - J. L. Sobral,
PY - 2007
KW - null
VL - 0
JA - Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
ER -
 
C. A. Cunha, Instituto Polit?cnico de Viseu, Portugal
J. L. Sobral, Universidade do Minho, Braga, Portugal
This paper presents a programming language for parallel computing based on code annotations. It has similar goals and philosophy as OpenMP but it is more tightly coupled to the object oriented paradigm. We include annotations for most common concurrency patterns and mechanisms, namely, one-way, futures, barriers, reads/writers and thread-local. Our current prototype is implemented using Java 5 annotations and AspectJ and provides a feasible and efficient alternative to the Java thread model.
Citation:
C. A. Cunha, J. L. Sobral, "An Annotation-Based Framework for Parallel Computing," pdp, pp.113-120, 15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP'07), 2007
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