A Tensor Library for Scientific Computing

Autores
Limache, Alejandro Cesar; Rojas Fredini, Pablo Sebastián
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The majority of physical phenomena and their computational simulations are described mathematically in terms of tensors and their different algebraic operations. Possibly the most used tensors are the ones of rank 1 and 2, which correspond to the algebraic concepts of vectors and matrices, respectively. Nevertheless, higher rank tensors (specially 3 and 4) appear at all times in different branches of physics and in numerical methods. One of the major drawbacks of high performance computing is that the code necessary to perform such tensor operations looks different and it is several lines longer than the corresponding one-line mathematical representation. Here we present a C++ tensor library, called LTensor, that we have developed using modern concepts of object oriented design and expression templates. As it will be shown, the LTensor library is able to mimic the classical indicial notation and follows Einstein convention about indices. Furthermore, it has other additional features than distinguish it from other libraries based on similar concepts: dynamic dimension size, arbitrary contraction order, customizable storage, inherited class structure, arbitrary looping positions on indicial notations, etc.
Fil: Limache, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Rojas Fredini, Pablo Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
LTensor
scientific computing
tensor library
C++ library
indicial notation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/19790
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/19790
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A Tensor Library for Scientific ComputingLimache, Alejandro CesarRojas Fredini, Pablo SebastiánLTensorscientific computingtensor libraryC++ libraryindicial notationhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The majority of physical phenomena and their computational simulations are described mathematically in terms of tensors and their different algebraic operations. Possibly the most used tensors are the ones of rank 1 and 2, which correspond to the algebraic concepts of vectors and matrices, respectively. Nevertheless, higher rank tensors (specially 3 and 4) appear at all times in different branches of physics and in numerical methods. One of the major drawbacks of high performance computing is that the code necessary to perform such tensor operations looks different and it is several lines longer than the corresponding one-line mathematical representation. Here we present a C++ tensor library, called LTensor, that we have developed using modern concepts of object oriented design and expression templates. As it will be shown, the LTensor library is able to mimic the classical indicial notation and follows Einstein convention about indices. Furthermore, it has other additional features than distinguish it from other libraries based on similar concepts: dynamic dimension size, arbitrary contraction order, customizable storage, inherited class structure, arbitrary looping positions on indicial notations, etc.Fil: Limache, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Rojas Fredini, Pablo Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaAsociacion Argentina de Mecanica Computacional2008-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/19790Limache, Alejandro Cesar; Rojas Fredini, Pablo Sebastián; A Tensor Library for Scientific Computing; Asociacion Argentina de Mecanica Computacional; Mecánica Computacional; XXVI; 38; 11-2008; 2907-29251666-6070CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.cimec.org.ar/ojs/index.php/mc/article/view/1607info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:09:20Zoai:ri.conicet.gov.ar:11336/19790instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:09:20.488CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Tensor Library for Scientific Computing
title A Tensor Library for Scientific Computing
spellingShingle A Tensor Library for Scientific Computing
Limache, Alejandro Cesar
LTensor
scientific computing
tensor library
C++ library
indicial notation
title_short A Tensor Library for Scientific Computing
title_full A Tensor Library for Scientific Computing
title_fullStr A Tensor Library for Scientific Computing
title_full_unstemmed A Tensor Library for Scientific Computing
title_sort A Tensor Library for Scientific Computing
dc.creator.none.fl_str_mv Limache, Alejandro Cesar
Rojas Fredini, Pablo Sebastián
author Limache, Alejandro Cesar
author_facet Limache, Alejandro Cesar
Rojas Fredini, Pablo Sebastián
author_role author
author2 Rojas Fredini, Pablo Sebastián
author2_role author
dc.subject.none.fl_str_mv LTensor
scientific computing
tensor library
C++ library
indicial notation
topic LTensor
scientific computing
tensor library
C++ library
indicial notation
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The majority of physical phenomena and their computational simulations are described mathematically in terms of tensors and their different algebraic operations. Possibly the most used tensors are the ones of rank 1 and 2, which correspond to the algebraic concepts of vectors and matrices, respectively. Nevertheless, higher rank tensors (specially 3 and 4) appear at all times in different branches of physics and in numerical methods. One of the major drawbacks of high performance computing is that the code necessary to perform such tensor operations looks different and it is several lines longer than the corresponding one-line mathematical representation. Here we present a C++ tensor library, called LTensor, that we have developed using modern concepts of object oriented design and expression templates. As it will be shown, the LTensor library is able to mimic the classical indicial notation and follows Einstein convention about indices. Furthermore, it has other additional features than distinguish it from other libraries based on similar concepts: dynamic dimension size, arbitrary contraction order, customizable storage, inherited class structure, arbitrary looping positions on indicial notations, etc.
Fil: Limache, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Rojas Fredini, Pablo Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description The majority of physical phenomena and their computational simulations are described mathematically in terms of tensors and their different algebraic operations. Possibly the most used tensors are the ones of rank 1 and 2, which correspond to the algebraic concepts of vectors and matrices, respectively. Nevertheless, higher rank tensors (specially 3 and 4) appear at all times in different branches of physics and in numerical methods. One of the major drawbacks of high performance computing is that the code necessary to perform such tensor operations looks different and it is several lines longer than the corresponding one-line mathematical representation. Here we present a C++ tensor library, called LTensor, that we have developed using modern concepts of object oriented design and expression templates. As it will be shown, the LTensor library is able to mimic the classical indicial notation and follows Einstein convention about indices. Furthermore, it has other additional features than distinguish it from other libraries based on similar concepts: dynamic dimension size, arbitrary contraction order, customizable storage, inherited class structure, arbitrary looping positions on indicial notations, etc.
publishDate 2008
dc.date.none.fl_str_mv 2008-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/19790
Limache, Alejandro Cesar; Rojas Fredini, Pablo Sebastián; A Tensor Library for Scientific Computing; Asociacion Argentina de Mecanica Computacional; Mecánica Computacional; XXVI; 38; 11-2008; 2907-2925
1666-6070
CONICET Digital
CONICET
url http://hdl.handle.net/11336/19790
identifier_str_mv Limache, Alejandro Cesar; Rojas Fredini, Pablo Sebastián; A Tensor Library for Scientific Computing; Asociacion Argentina de Mecanica Computacional; Mecánica Computacional; XXVI; 38; 11-2008; 2907-2925
1666-6070
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.cimec.org.ar/ojs/index.php/mc/article/view/1607
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Asociacion Argentina de Mecanica Computacional
publisher.none.fl_str_mv Asociacion Argentina de Mecanica Computacional
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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