Better and Faster Spectra analysis using Analytical Programming on CUDA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093207" target="_blank" >RIV/61989100:27240/14:86093207 - isvavai.cz</a>
Result on the web
<a href="http://rd.springer.com/chapter/10.1007/978-3-319-07401-6_15" target="_blank" >http://rd.springer.com/chapter/10.1007/978-3-319-07401-6_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07401-6_15" target="_blank" >10.1007/978-3-319-07401-6_15</a>
Alternative languages
Result language
angličtina
Original language name
Better and Faster Spectra analysis using Analytical Programming on CUDA
Original language 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 orless 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Nostradamus 2014: prediction, modeling and analysis of complex systems
ISBN
978-3-319-07400-9
ISSN
2194-5357
e-ISSN
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Number of pages
8
Pages from-to
153-160
Publisher name
Springer
Place of publication
Heidelberg
Event location
Ostrava
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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