Restructuring Fortran legacy applications for parallel computing in multiprocessors

As it is widely known, multi-core computers are broadly used these days, and automatic parallelization of sequential programs is still a challenge. In this context, we propose a set of code transformations to be applied automatically by a tool in order to transform sequential legacy systems into the...

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Detalles Bibliográficos
Autores principales:	Tinetti, Fernando Gustavo, Méndez, Mariano, De Giusti, Armando Eduardo
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2013
Materias:	Informática Ciencias Informáticas High performance computing Parallel computing Legacy applications Software restructuring Fortra
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/134813
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-134813
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Informática Ciencias Informáticas High performance computing Parallel computing Legacy applications Software restructuring Fortra
spellingShingle	Informática Ciencias Informáticas High performance computing Parallel computing Legacy applications Software restructuring Fortra Tinetti, Fernando Gustavo Méndez, Mariano De Giusti, Armando Eduardo Restructuring Fortran legacy applications for parallel computing in multiprocessors
topic_facet	Informática Ciencias Informáticas High performance computing Parallel computing Legacy applications Software restructuring Fortra
description	As it is widely known, multi-core computers are broadly used these days, and automatic parallelization of sequential programs is still a challenge. In this context, we propose a set of code transformations to be applied automatically by a tool in order to transform sequential legacy systems into their parallel version. We implement these transformations by applying a lightweight source code analysis based on rewritable AST (Abstract Syntax Tree). Since it is not always possible to automatically parallelize the code, we also implemented some specific analyses in order to report possible changes that would allow specific parallelization. Additionally, we present some examples in which these transformations were conducted and the corresponding performance experiments.
format	Articulo Articulo
author	Tinetti, Fernando Gustavo Méndez, Mariano De Giusti, Armando Eduardo
author_facet	Tinetti, Fernando Gustavo Méndez, Mariano De Giusti, Armando Eduardo
author_sort	Tinetti, Fernando Gustavo
title	Restructuring Fortran legacy applications for parallel computing in multiprocessors
title_short	Restructuring Fortran legacy applications for parallel computing in multiprocessors
title_full	Restructuring Fortran legacy applications for parallel computing in multiprocessors
title_fullStr	Restructuring Fortran legacy applications for parallel computing in multiprocessors
title_full_unstemmed	Restructuring Fortran legacy applications for parallel computing in multiprocessors
title_sort	restructuring fortran legacy applications for parallel computing in multiprocessors
publishDate	2013
url	http://sedici.unlp.edu.ar/handle/10915/134813
work_keys_str_mv	AT tinettifernandogustavo restructuringfortranlegacyapplicationsforparallelcomputinginmultiprocessors AT mendezmariano restructuringfortranlegacyapplicationsforparallelcomputinginmultiprocessors AT degiustiarmandoeduardo restructuringfortranlegacyapplicationsforparallelcomputinginmultiprocessors
bdutipo_str	Repositorios
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Restructuring Fortran legacy applications for parallel computing in multiprocessors

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