Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studies

The main objective of this thesis is to clarify a way to the convergence between the Big Data and the High Performance Computing world. In order to do this, a study of the application of this kind of technologies to two real world scientific problems is performed. These two problems are the sequence...

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Detalles Bibliográficos
Autor: Abuín Mosquera, José Manuel
Tipo de recurso: tesis doctoral
Fecha de publicación:2017
País:España
Institución:Universidad de Santiago de Compostela (USC)
Repositorio:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Idioma:inglés
OAI Identifier:oai:minerva.usc.gal:10347/16420
Acceso en línea:http://hdl.handle.net/10347/16420
Access Level:acceso abierto
Palabra clave:Materias::Investigación::33 Ciencias tecnológicas::3304 Tecnología de los ordenadores::330406 Arquitectura de ordenadores
Materias::Investigación::12 Matemáticas::1203 Ciencia de los ordenadores::120323 Lenguajes de programación
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spelling Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studiesAbuín Mosquera, José ManuelMaterias::Investigación::33 Ciencias tecnológicas::3304 Tecnología de los ordenadores::330406 Arquitectura de ordenadoresMaterias::Investigación::12 Matemáticas::1203 Ciencia de los ordenadores::120323 Lenguajes de programaciónThe main objective of this thesis is to clarify a way to the convergence between the Big Data and the High Performance Computing world. In order to do this, a study of the application of this kind of technologies to two real world scientific problems is performed. These two problems are the sequence alignment in genomics and the natural language processing. These problems have a very big input and output size, and are computationally intensive, requiring a very high execution time. By facing these problems, also new tools that can be used by professionals in the areas are developed. Conclusions about convergence between these two worlds are presented, taking into account results from this study.Pichel Campos, Juan CarlosFernández Pena, Anselmo TomásUniversidade de Santiago de Compostela. Departamento de Electrónica e ComputaciónE.T.S. de EnxeñaríaCentro Singular de Investigación en Tecnoloxías da Información (CiTIUS)20172017-01-0120172017-01-01doctoral thesishttp://purl.org/coar/resource_type/c_db06info:eu-repo/semantics/doctoralThesisapplication/pdfhttp://hdl.handle.net/10347/16420reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Esta obra atópase baixo unha licenza internacional Creative Commons BY-NC-ND 4.0. Calquera forma de reprodución, distribución, comunicación pública ou transformación desta obra non incluída na licenza Creative Commons BY-NC-ND 4.0 só pode ser realizada coa autorización expresa dos titulares, salvo excepción prevista pola lei. Pode acceder Vde. ao texto completo da licenza nesta ligazón: https://creativecommons.org/licenses/by-nc-nd/4.0/deed.glhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.glinfo:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/164202026-06-15T12:47:27Z
dc.title.none.fl_str_mv Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studies
title Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studies
spellingShingle Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studies
Abuín Mosquera, José Manuel
Materias::Investigación::33 Ciencias tecnológicas::3304 Tecnología de los ordenadores::330406 Arquitectura de ordenadores
Materias::Investigación::12 Matemáticas::1203 Ciencia de los ordenadores::120323 Lenguajes de programación
title_short Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studies
title_full Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studies
title_fullStr Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studies
title_full_unstemmed Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studies
title_sort Big Data meets High Performance Computing: Genomics and Natural Language Processing as case studies
dc.creator.none.fl_str_mv Abuín Mosquera, José Manuel
author Abuín Mosquera, José Manuel
author_facet Abuín Mosquera, José Manuel
author_role author
dc.contributor.none.fl_str_mv Pichel Campos, Juan Carlos
Fernández Pena, Anselmo Tomás
Universidade de Santiago de Compostela. Departamento de Electrónica e Computación
E.T.S. de Enxeñaría
Centro Singular de Investigación en Tecnoloxías da Información (CiTIUS)
dc.subject.none.fl_str_mv Materias::Investigación::33 Ciencias tecnológicas::3304 Tecnología de los ordenadores::330406 Arquitectura de ordenadores
Materias::Investigación::12 Matemáticas::1203 Ciencia de los ordenadores::120323 Lenguajes de programación
topic Materias::Investigación::33 Ciencias tecnológicas::3304 Tecnología de los ordenadores::330406 Arquitectura de ordenadores
Materias::Investigación::12 Matemáticas::1203 Ciencia de los ordenadores::120323 Lenguajes de programación
description The main objective of this thesis is to clarify a way to the convergence between the Big Data and the High Performance Computing world. In order to do this, a study of the application of this kind of technologies to two real world scientific problems is performed. These two problems are the sequence alignment in genomics and the natural language processing. These problems have a very big input and output size, and are computationally intensive, requiring a very high execution time. By facing these problems, also new tools that can be used by professionals in the areas are developed. Conclusions about convergence between these two worlds are presented, taking into account results from this study.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
2017
2017-01-01
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
dc.type.openaire.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10347/16420
url http://hdl.handle.net/10347/16420
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.gl
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.gl
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname:Universidad de Santiago de Compostela (USC)
instname_str Universidad de Santiago de Compostela (USC)
reponame_str Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
collection Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
repository.name.fl_str_mv
repository.mail.fl_str_mv
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