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dc.contributor.authorGuidolin, Micheleen_GB
dc.contributor.authorDuncan, Andrewen_GB
dc.contributor.authorGhimire, Biduren_GB
dc.contributor.authorGibson, Mikeen_GB
dc.contributor.authorKeedwell, Edwarden_GB
dc.contributor.authorChen, Albert S.en_GB
dc.contributor.authorDjordjevic, Slobodanen_GB
dc.contributor.authorSavic, Draganen_GB
dc.date.accessioned2012-09-18T12:38:45Zen_GB
dc.date.accessioned2013-03-20T13:49:22Z
dc.date.issued2012-07-20en_GB
dc.description.abstractA recent trend in the development of flood simulation algorithms shows the move toward fast simplified models instead of slow full hydrodynamic models. CADDIES is a research project that aims to develop a real/near-real time pluvial urban flood simulation model using the computational speed of cellular automata (CA) algorithms. This paper presents a component of the software framework that is part of the CADDIES project. Its objective is to simplify the development of CA algorithms and their acceleration using modern high performance hardware and techniques. The performance results obtained on a simple case study clearly demonstrate the effectiveness and efficiency of the CADDIES framework.en_GB
dc.description.sponsorshipEPSRCen_GB
dc.identifier.citationProceedings of the 10th International Conference on Hydroinformatics (HIC 2012), Hamburg, Germany, 14-18 July 2012en_GB
dc.identifier.urihttp://hdl.handle.net/10036/3742en_GB
dc.language.isoenen_GB
dc.publisherIWA (International Water Association)en_GB
dc.relation.ispartofseries0044en_GB
dc.subjectCAen_GB
dc.subjectcellular automataen_GB
dc.subjectpluvial flooden_GB
dc.subjectfast 2D modelen_GB
dc.subjectdual drainageen_GB
dc.subjectCADDIESen_GB
dc.subjectparallel processingen_GB
dc.subjectGPUen_GB
dc.subjectAPIen_GB
dc.titleCADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulationen_GB
dc.typeMeetings and Proceedingsen_GB
dc.date.available2012-09-18T12:38:45Zen_GB
dc.date.available2013-03-20T13:49:22Z
dc.descriptionCADDIES project CA Framework conference paper presented at HIC2012en_GB


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