Orca: A language for parallel programming of distributed systems

Orca: A language for parallel programming of distributed systems (1992)

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by Henri E. Bal , M. Frans Kaashoek , Andrew S. Tanenbaum

Venue:	IEEE Transactions on Software Engineering
Citations:	306 - 43 self

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Datum	Value	Source
TITLE	Orca: A language for parallel programming of distributed systems	INFERENCE
AUTHOR NAME	Henri E. Bal	SVM HeaderParse 0.2
AUTHOR AFFIL	Dept. of Mathematics and Computer Science	SVM HeaderParse 0.2
AUTHOR NAME	M. Frans Kaashoek	SVM HeaderParse 0.2
AUTHOR AFFIL	Dept. of Mathematics and Computer Science	SVM HeaderParse 0.2
AUTHOR NAME	Andrew S. Tanenbaum	SVM HeaderParse 0.2
AUTHOR AFFIL	Dept. of Mathematics and Computer Science	SVM HeaderParse 0.2
ABSTRACT	Orca is a language for implementing parallel applications on loosely coupled distributed systems. Unlike most languages for distributed programming, it allows processes on different machines to share data. Such data are encapsulated in data-objects, which are instances of user-defined abstract data types. The implementation of Orca takes care of the physical distribution of objects among the local memories of the processors. In particular, an implementation may replicate and/or migrate objects in order to decrease access times to objects and increase parallelism. This paper gives a detailed description of the Orca language design and motivates the design choices. Orca is intended for applications programmers rather than systems programmers. This is reflected in its design goals to provide a simple, easy to use language that is type-secure and provides clean semantics. The paper discusses three example parallel applications in Orca, one of which is described in detail. It also describes one of the existing implementations, which is based on reliable broadcasting. Performance measurements of this system are given for three parallel applications. The measurements show that significant speedups can be obtained for all three applications. Finally, the paper compares Orca with several related languages and systems. 1.	SVM HeaderParse 0.2
YEAR	1992	INFERENCE
VENUE	IEEE Transactions on Software Engineering	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	190--205	INFERENCE
VOLUME	18	INFERENCE
CITATIONS	40 found	ParsCit 1.0