Applications of parallel computing
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.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.identifier.citation | ****** | en_US |
dc.identifier.conference | CSE Symposium 2014 | en_US |
dc.identifier.department | Department of Computer Science and Engineering | en_US |
dc.identifier.faculty | Engineering | en_US |
dc.identifier.pgnos | pp. 101-105 | en_US |
dc.identifier.place | Katubedda | en_US |
dc.identifier.proceeding | Proceedings of the CSE Symposium 2014 | en_US |
dc.identifier.uri | http://dl.lib.uom.lk/handle/123/19784 | |
dc.identifier.year | 2012 | 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 |