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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


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