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A general, fine-grained, machine independent, object-oriented language

A general, fine-grained, machine independent, object-oriented language This paper introduces the general-purpose object-oriented programming language Ellie which supports machine independent fine-grained objects and parallelism. As something particular, classes, types, blocks, and methods are abstracted by first class objects/citizens called Ellie objects. Ellie demonstrates new approaches for abstraction and code reuse in parallel programming.The goals of Ellie have been to obtain an extremely flexible, machine independent, parallel language. Ellie tries to meet these goals by extensive usage of selected language concepts combined with compile-time analysis to adapt programs for efficient execution on the available hardware. Ellie runs on a parallel mesh transputer network. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGPLAN Notices Association for Computing Machinery

A general, fine-grained, machine independent, object-oriented language

ACM SIGPLAN Notices , Volume 29 (5) – May 1, 1994

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References (21)

Publisher
Association for Computing Machinery
Copyright
Copyright © 1994 by ACM Inc.
ISSN
0362-1340
DOI
10.1145/181734.181739
Publisher site
See Article on Publisher Site

Abstract

This paper introduces the general-purpose object-oriented programming language Ellie which supports machine independent fine-grained objects and parallelism. As something particular, classes, types, blocks, and methods are abstracted by first class objects/citizens called Ellie objects. Ellie demonstrates new approaches for abstraction and code reuse in parallel programming.The goals of Ellie have been to obtain an extremely flexible, machine independent, parallel language. Ellie tries to meet these goals by extensive usage of selected language concepts combined with compile-time analysis to adapt programs for efficient execution on the available hardware. Ellie runs on a parallel mesh transputer network.

Journal

ACM SIGPLAN NoticesAssociation for Computing Machinery

Published: May 1, 1994

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