Java objects communication on a high performance network
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Courtrai:2001:Euromicro,
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author = "Luc Courtrai and Yves Maheo and Frederic Raimbault",
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title = "Java objects communication on a high performance
network",
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booktitle = "Proceedings of the Ninth Euromicro Workshop on
Parallel and Distributed Processing",
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year = "2001",
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pages = "203--210",
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month = "7-9 " # feb,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, Java,
parallel programming, Expresso, workstation clusters,
Java object communication library, Java objects
communication, cluster programming, high performance
network, local high performance networks availability,
parallel computing, workstations clusters,
Availability, Communication standards, Communication
system control, Computer architecture, Computer
languages, Java, Libraries, Parallel processing,
Proposals, Workstations",
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ISBN = "0-7695-0987-8",
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language = "en",
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oai = "oai:CiteSeerX.psu:10.1.1.366.6319",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.366.6319",
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URL = "http://hal.archives-ouvertes.fr/docs/00/42/65/88/PDF/euromicro01.pdf",
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DOI = "doi:10.1109/EMPDP.2001.905044",
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size = "8 pages",
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abstract = "Local high performance networks availability already
makes workstations clusters a serious alternative for
parallel computing. However a high level and effective
programming language for such architecture is still
missing. Recent works show the interest in Java for
cluster programming. One of the main issues is to
handle efficiently the communication of objects to
really take advantage of the network speed. The paper
presents an alternative to the standard serialisation
process through the proposal of a Java object
communication library. Object allocation is controlled
in such a way that the transfer of objects between two
nodes comes to a direct memory to memory dump. We show
how specific allocation mechanisms can cooperate with a
Java Virtual Machine so that fast transfers of graphs
of objects can be achieved. Experimental results are
given for basic operations and for a genetic
programming application, they demonstrate a dramatic
change in the transfer speed",
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notes = "also known as \cite{905044}",
- }
Genetic Programming entries for
Luc Courtrai
Yves Maheo
Frederic Raimbault
Citations