(Enter summary)
Abstract: Orca is a language for parallel programming on distributed
systems. Communication in Orca is based
on shared data-objects, which is a form of distributed
shared memory. The performance of Orca
programs depends strongly on how shared dataobjects
are distributed among the local physical
memories of the processors. This paper studies a
new and efficient solution to this problem, based on
an integration of compile-time and run-time techniques.
The Orca compiler has been extended to
determine the... (Update)
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BibTeX entry: (Update)
Henri E. Bal and M. Frans Kaashoek. Object Distribution in Orca using CompileTime and Run-Time Techniques. In Proceedings of the Conference on ObjectOriented Programming Systems, Languages, and Applications, September 1993. http://citeseer.ist.psu.edu/bal93object.html More
@inproceedings{ bal93object,
author = "Henri E. Bal and M. Frans Kaashoek",
title = "Object distribution in Orca using compile-time and run-time techniques",
booktitle = "Proceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications ({OOPSLA})",
journal = "SIGPLAN Notices",
volume = "28",
number = "10",
publisher = "ACM Press",
address = "New York, NY",
editor = "Andreas Paepcke",
pages = "162--177",
year = "1993",
url = "citeseer.ist.psu.edu/bal93object.html" }
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