Mobile Devices-aware Refactorings for Scientific Computational Kernels

Autores
Rodriguez, Ana; Mateos, Cristian M.; Zunino, Alejandro
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The increasing number of mobile devices with ever-growing processing capabilities, make them interesting for scientific applications development. However, we must take into account that mobile devices still have limited capabilities compared to fixed devices. Besides, mobile devices rely on battery as energy supply. For these reasons, this paper analyzes different micro-benchmarks battery consumption given by common operations in scientific computational kernels. Indirectly, we propose good programming practices or code refactorings in order to minimize mobile devices battery consumption.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Smartphones
Android
Scientific Computing
Computational Kernels
Refactoring
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/123795
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/123795
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Mobile Devices-aware Refactorings for Scientific Computational KernelsRodriguez, AnaMateos, Cristian M.Zunino, AlejandroCiencias InformáticasSmartphonesAndroidScientific ComputingComputational KernelsRefactoringThe increasing number of mobile devices with ever-growing processing capabilities, make them interesting for scientific applications development. However, we must take into account that mobile devices still have limited capabilities compared to fixed devices. Besides, mobile devices rely on battery as energy supply. For these reasons, this paper analyzes different micro-benchmarks battery consumption given by common operations in scientific computational kernels. Indirectly, we propose good programming practices or code refactorings in order to minimize mobile devices battery consumption.Sociedad Argentina de Informática e Investigación Operativa2012-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf61-72http://sedici.unlp.edu.ar/handle/10915/123795enginfo:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/6_AST_2012.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2806info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:01:44Zoai:sedici.unlp.edu.ar:10915/123795Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:01:44.907SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Mobile Devices-aware Refactorings for Scientific Computational Kernels
title Mobile Devices-aware Refactorings for Scientific Computational Kernels
spellingShingle Mobile Devices-aware Refactorings for Scientific Computational Kernels
Rodriguez, Ana
Ciencias Informáticas
Smartphones
Android
Scientific Computing
Computational Kernels
Refactoring
title_short Mobile Devices-aware Refactorings for Scientific Computational Kernels
title_full Mobile Devices-aware Refactorings for Scientific Computational Kernels
title_fullStr Mobile Devices-aware Refactorings for Scientific Computational Kernels
title_full_unstemmed Mobile Devices-aware Refactorings for Scientific Computational Kernels
title_sort Mobile Devices-aware Refactorings for Scientific Computational Kernels
dc.creator.none.fl_str_mv Rodriguez, Ana
Mateos, Cristian M.
Zunino, Alejandro
author Rodriguez, Ana
author_facet Rodriguez, Ana
Mateos, Cristian M.
Zunino, Alejandro
author_role author
author2 Mateos, Cristian M.
Zunino, Alejandro
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Smartphones
Android
Scientific Computing
Computational Kernels
Refactoring
topic Ciencias Informáticas
Smartphones
Android
Scientific Computing
Computational Kernels
Refactoring
dc.description.none.fl_txt_mv The increasing number of mobile devices with ever-growing processing capabilities, make them interesting for scientific applications development. However, we must take into account that mobile devices still have limited capabilities compared to fixed devices. Besides, mobile devices rely on battery as energy supply. For these reasons, this paper analyzes different micro-benchmarks battery consumption given by common operations in scientific computational kernels. Indirectly, we propose good programming practices or code refactorings in order to minimize mobile devices battery consumption.
Sociedad Argentina de Informática e Investigación Operativa
description The increasing number of mobile devices with ever-growing processing capabilities, make them interesting for scientific applications development. However, we must take into account that mobile devices still have limited capabilities compared to fixed devices. Besides, mobile devices rely on battery as energy supply. For these reasons, this paper analyzes different micro-benchmarks battery consumption given by common operations in scientific computational kernels. Indirectly, we propose good programming practices or code refactorings in order to minimize mobile devices battery consumption.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/123795
url http://sedici.unlp.edu.ar/handle/10915/123795
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/6_AST_2012.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2806
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
61-72
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.13397

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