Implementing parallelisations in a fuzzy qualitative reasoning engine

Allan M. Bruce; George M. Coghill

Implementing parallelisations in a fuzzy qualitative reasoning engine

Research output: Contribution to conference › Unpublished paper › peer-review

Abstract

Qualitative Reasoning offers an approach to analyse system behaviours where standard numerical techniques are impossible or impractical. The theory behind Qualitative Reasoning is very simple, however current implementations are not very efficient. We have developed a Qualitative Reasoning engine with a novel parallel abstract architecture. Recognising several stages within the engine to be executed in parallel allows the engine to be run on multiprocessor machines or in distributed computing environments and is scalable. This should allow the engine to be executed much faster and make qualitative reasoning an option for future applications. Results of the parallelisations show that execution time has been decreased by an order of two in these stages when run on a small multi-processor machine.

Original language	English
Pages	36-43
Number of pages	8
Publication status	Published - 1 Dec 2005
Event	2005 UK Workshop on Computational Intelligence, UKCI 2005 - London, United Kingdom Duration: 5 Sept 2005 → 7 Sept 2005 https://pdfs.semanticscholar.org/eaa3/518da2527e5b03ce7cae8735c3ac39677a35.pdf (Link to Conference Proceedings)

Conference

Conference	2005 UK Workshop on Computational Intelligence, UKCI 2005
Country/Territory	United Kingdom
City	London
Period	5/09/05 → 7/09/05
Internet address	https://pdfs.semanticscholar.org/eaa3/518da2527e5b03ce7cae8735c3ac39677a35.pdf (Link to Conference Proceedings)

Keywords

Fuzzy systems
Parallel systems
Qualitative reasoning

Cite this

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abstract = "Qualitative Reasoning offers an approach to analyse system behaviours where standard numerical techniques are impossible or impractical. The theory behind Qualitative Reasoning is very simple, however current implementations are not very efficient. We have developed a Qualitative Reasoning engine with a novel parallel abstract architecture. Recognising several stages within the engine to be executed in parallel allows the engine to be run on multiprocessor machines or in distributed computing environments and is scalable. This should allow the engine to be executed much faster and make qualitative reasoning an option for future applications. Results of the parallelisations show that execution time has been decreased by an order of two in these stages when run on a small multi-processor machine.",

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AU - Bruce, Allan M.

AU - Coghill, George M.

PY - 2005/12/1

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AB - Qualitative Reasoning offers an approach to analyse system behaviours where standard numerical techniques are impossible or impractical. The theory behind Qualitative Reasoning is very simple, however current implementations are not very efficient. We have developed a Qualitative Reasoning engine with a novel parallel abstract architecture. Recognising several stages within the engine to be executed in parallel allows the engine to be run on multiprocessor machines or in distributed computing environments and is scalable. This should allow the engine to be executed much faster and make qualitative reasoning an option for future applications. Results of the parallelisations show that execution time has been decreased by an order of two in these stages when run on a small multi-processor machine.

KW - Fuzzy systems

KW - Parallel systems

KW - Qualitative reasoning

UR - http://www.scopus.com/inward/record.url?scp=84883270148&partnerID=8YFLogxK

M3 - Unpublished paper

AN - SCOPUS:84883270148

SP - 36

EP - 43

T2 - 2005 UK Workshop on Computational Intelligence, UKCI 2005

Y2 - 5 September 2005 through 7 September 2005

ER -

Implementing parallelisations in a fuzzy qualitative reasoning engine

Abstract

Conference

Keywords

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Cite this