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Developing the distributed component...

Lu, Bo.

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Developing the distributed component of a framework for processing intensional programming languages.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Developing the distributed component of a framework for processing intensional programming languages./
作者:	Lu, Bo.
面頁冊數:	137 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1403.
Contained By:	Dissertation Abstracts International65-03B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ90395
ISBN:	0612903958

Developing the distributed component of a framework for processing intensional programming languages.
Lu, Bo.

Developing the distributed component of a framework for processing intensional programming languages. - 137 p.

Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1403.

Thesis (Ph.D.)--Concordia University (Canada), 2004.

Based on a simple non-procedural language with temporal logic operators, Lucid underlies a family of multi-dimensional programming languages based on intensional logic. Intension is a concept rooted in an aspect of natural language called "intensional context", in which the meaning of a statement (extension) depends on the context in which it is uttered (intension). The implicit temporal feature of Lucid makes it suitable for use as a means of describing dynamic systems. In the past, experiments have been performed and real applications have been developed with programs written in Lucid. However, these systems focused mainly on improving the execution performance of one dialect of Lucid and not address the problem of interpreting variants of Lucid. The GIPSY system is designed to not only process current Lucid variants efficiently but also to be modified easily to accept new dialects of Lucid.

ISBN: 0612903958Subjects--Topical Terms:

626642
Computer Science.

Developing the distributed component of a framework for processing intensional programming languages.
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245 1 0 $a Developing the distributed component of a framework for processing intensional programming languages.
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500 $a Source: Dissertation Abstracts International, Volume: 65-03, Section: B, page: 1403.
500 $a Adviser: Peter Grogono.
502 $a Thesis (Ph.D.)--Concordia University (Canada), 2004.
520 $a Based on a simple non-procedural language with temporal logic operators, Lucid underlies a family of multi-dimensional programming languages based on intensional logic. Intension is a concept rooted in an aspect of natural language called "intensional context", in which the meaning of a statement (extension) depends on the context in which it is uttered (intension). The implicit temporal feature of Lucid makes it suitable for use as a means of describing dynamic systems. In the past, experiments have been performed and real applications have been developed with programs written in Lucid. However, these systems focused mainly on improving the execution performance of one dialect of Lucid and not address the problem of interpreting variants of Lucid. The GIPSY system is designed to not only process current Lucid variants efficiently but also to be modified easily to accept new dialects of Lucid.
520 $a In the thesis, we discuss the essence of executing intensional programming languages using the eduction (also called demand-driven or lazy) execution model; describe experiments with different approaches to interpreting programs written in Lucid; and focuses on execution over a network of processors. We describe the implementation of a prototype for executing Lucid programs in a distributed environment. We also explore the advantages of applying the object concept to distributed systems and describe experiments with these methods. In addition, the thesis includes estimates of the impact of integrating computation functions into the Lucid code and proposes an advanced execution model consisting of self-contained and intelligent clients associated with a meta-level resource management.
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