Machine Learning for Adaptive Many-Core Machines - A Practical Approach

Detalhes bibliográficos
Autor(a) principal: Lopes, Noel
Data de Publicação: 2015
Outros Autores: Ribeiro, Bernardete
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10314/2412
Resumo: The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data.
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spelling Machine Learning for Adaptive Many-Core Machines - A Practical ApproachThe overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data.Springer2016-07-04T20:22:22Z2016-07-042015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookhttp://hdl.handle.net/10314/2412http://hdl.handle.net/10314/2412engLopes, NoelRibeiro, Bernardeteinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-14T02:55:16Zoai:bdigital.ipg.pt:10314/2412Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:42:01.837301Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Machine Learning for Adaptive Many-Core Machines - A Practical Approach
title Machine Learning for Adaptive Many-Core Machines - A Practical Approach
spellingShingle Machine Learning for Adaptive Many-Core Machines - A Practical Approach
Lopes, Noel
title_short Machine Learning for Adaptive Many-Core Machines - A Practical Approach
title_full Machine Learning for Adaptive Many-Core Machines - A Practical Approach
title_fullStr Machine Learning for Adaptive Many-Core Machines - A Practical Approach
title_full_unstemmed Machine Learning for Adaptive Many-Core Machines - A Practical Approach
title_sort Machine Learning for Adaptive Many-Core Machines - A Practical Approach
author Lopes, Noel
author_facet Lopes, Noel
Ribeiro, Bernardete
author_role author
author2 Ribeiro, Bernardete
author2_role author
dc.contributor.author.fl_str_mv Lopes, Noel
Ribeiro, Bernardete
description The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01T00:00:00Z
2016-07-04T20:22:22Z
2016-07-04
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10314/2412
http://hdl.handle.net/10314/2412
url http://hdl.handle.net/10314/2412
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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