Applications of parallel computing

Dassanayake, DMUC; De Silva, LYSG; Fernando, MDY; Jayawardana, DDSL; Ranatunga, AI

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dc.contributor.author	Dassanayake, DMUC
dc.contributor.author	De Silva, LYSG
dc.contributor.author	Fernando, MDY
dc.contributor.author	Jayawardana, DDSL
dc.contributor.author	Ranatunga, AI
dc.contributor.editor	De Silva, R
dc.date.accessioned	2022-12-14T07:41:57Z
dc.date.available	2022-12-14T07:41:57Z
dc.date.issued	2012
dc.identifier.citation	******	en_US
dc.identifier.uri	http://dl.lib.uom.lk/handle/123/19784
dc.description.abstract	parallel computing is one of the main solutions for the newly arising computational problems, implementations of parallelism are multi-core systems. To improve the performance in specific usage such as matrix multiplication we have to analyse the algorithms behind it. Markov's chains and memetic algorithms are two algorithmic implementations of parallel programming. Data mining is used in AI development, but can be efficiently used to optimize parallel computing as well.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering, University of Moratuwa.	en_US
dc.subject	Parallel computing	en_US
dc.subject	Multi core architecture	en_US
dc.subject	Synchronization	en_US
dc.subject	Data mining	en_US
dc.title	Applications of parallel computing	en_US
dc.type	Conference-Full-text	en_US
dc.identifier.faculty	Engineering	en_US
dc.identifier.department	Department of Computer Science and Engineering	en_US
dc.identifier.year	2012	en_US
dc.identifier.conference	CSE Symposium 2014	en_US
dc.identifier.place	Katubedda	en_US
dc.identifier.pgnos	pp. 101-105	en_US
dc.identifier.proceeding	Proceedings of the CSE Symposium 2014	en_US