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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12128/148
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dc.contributor.authorGrzeszczuk, Andrzej-
dc.contributor.authorKowalski, Seweryn-
dc.date.accessioned2017-10-29T18:34:47Z-
dc.date.available2017-10-29T18:34:47Z-
dc.date.issued2015-
dc.identifier.citation"Proceedings of IWM-EC2014 International Workshop on Multi Facets of EoS and Clustering : Catania, 6 - 9 May 2014" (Art. no 01007). Bologna : Societa italiana di fisicapl_PL
dc.identifier.isbn978-88-7438-091-6-
dc.identifier.issn2100-014X-
dc.identifier.otherdoi: 10.1051/epjconf/20158801007-
dc.identifier.urihttp://hdl.handle.net/20.500.12128/148-
dc.description.abstractCompute Unified Device Architecture (CUDA) is a parallel computing platform developed by NVIDIA for increase speed of graphics by usage of parallel mode for processes calculation. The success of this solution has opened technology General-Purpose Graphic Processor Units (GPGPUs) for applications not coupled with graphics. The GPGPUs system can be applying as effective tool for reducing huge number of data for pulse shape analysis measures, by on-line recalculation or by very quick system of compression. The simplified structure of CUDA system and model of programming based on example NVIDIA GForce GTX580 card are presented by our poster contribution in stand-Alone version and as ROOT application.pl_PL
dc.language.isoenpl_PL
dc.rightsUznanie autorstwa 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/pl/*
dc.subjectnuclear experimentspl_PL
dc.subjectCompute Unified Device Architecturepl_PL
dc.titleAdvanced mathematical on-line analysis in nuclear experiments. Usage of parallel computing CUDA routines in standard root analysispl_PL
dc.typeinfo:eu-repo/semantics/conferenceProceedingspl_PL
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