About: Better and Faster Spectra analysis using Analytical Programming on CUDA

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://rd.springer.com/chapter/10.1007/978-3-319-07401-6_15
Description	In this paper we discuss a method useful for spectra analysis -- analytical programming and its implementation. Our goal is to create mathematical formulas of emission lines from spectra, which are characteristic for Be stars. One issue in performing this task is symbolic regression, which represents the process in our application, when measured data fit the best represented mathematical formula. In past this was only a human domain; nowadays, there are computer methods, which allow us to do it more or less effectively. A novel method in symbolic regression, compared to genetic programming and grammar evolution, is analytic programming. The aim of this work is to verify the efficiency of the parallel approach of this algorithm, using CUDA architecture. In this paper we discuss a method useful for spectra analysis -- analytical programming and its implementation. Our goal is to create mathematical formulas of emission lines from spectra, which are characteristic for Be stars. One issue in performing this task is symbolic regression, which represents the process in our application, when measured data fit the best represented mathematical formula. In past this was only a human domain; nowadays, there are computer methods, which allow us to do it more or less effectively. A novel method in symbolic regression, compared to genetic programming and grammar evolution, is analytic programming. The aim of this work is to verify the efficiency of the parallel approach of this algorithm, using CUDA architecture. (en)
Title	Better and Faster Spectra analysis using Analytical Programming on CUDA Better and Faster Spectra analysis using Analytical Programming on CUDA (en)
skos:prefLabel	Better and Faster Spectra analysis using Analytical Programming on CUDA Better and Faster Spectra analysis using Analytical Programming on CUDA (en)
skos:notation	RIV/61989100:27240/14:86093207!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GA13-08195S), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Šaloun, Petr Zelinka, Ivan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	5115
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/14:86093207
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	symbolic regression; parallel implementation; differential evolution; evolutionary algorithm; CUDA; spectra analysis; analytical programming (en)
http://linked.open.../riv/klicoveSlovo	parallel implementation CUDA differential evolution evolutionary algorithm symbolic regression spectra analysis analytical programming
http://linked.open...ontrolniKodProRIV	[7947B5879249]
http://linked.open...v/mistoKonaniAkce	Ostrava
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Nostradamus 2014: prediction, modeling and analysis of complex systems
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Vysoce škálovatelné paralelní a distribuované metody zpracování vědeckých dat
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Zelinka, Ivan Šaloun, Petr Drábik, Peter Vraná, Marie
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-06-23 (xsd:date)
issn	2194-5357
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-07401-6_15
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-319-07400-9
http://localhost/t...ganizacniJednotka	27240

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