Legacy code and parallel computing: updating and parallelizing a numerical model

In this paper, we present several important details in the process of legacy code parallelization, mostly related to the problem of maintaining numerical output of a legacy code while obtaining a balanced workload for parallel processing. Since we maintained the non-uniform mesh imposed by the origi...

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Autores principales: Tinetti, Fernando Gustavo, Pérez, Maximiliano Jesús, Fraidenraich, Ariel, Altenberg, Adolfo E.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
Materias:
Informática
Parallelization
Legacy code constraints
Mesh data distribution for FEM
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/136985
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-136985
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Informática
Parallelization
Legacy code constraints
Mesh data distribution for FEM
spellingShingle Informática
Parallelization
Legacy code constraints
Mesh data distribution for FEM
Tinetti, Fernando Gustavo
Pérez, Maximiliano Jesús
Fraidenraich, Ariel
Altenberg, Adolfo E.
Legacy code and parallel computing: updating and parallelizing a numerical model
topic_facet Informática
Parallelization
Legacy code constraints
Mesh data distribution for FEM
description In this paper, we present several important details in the process of legacy code parallelization, mostly related to the problem of maintaining numerical output of a legacy code while obtaining a balanced workload for parallel processing. Since we maintained the non-uniform mesh imposed by the original finite element code, we have to develop a specially designed data distribution among processors so that data restrictions are met in the finite element method. In particular, we introduce a data distribution method that is initially used in shared memory parallel processing and obtain better performance than the previous parallel program version. Besides, this method can be extended to other parallel platforms such as distributed memory parallel computers. We present results including several problems related to performance profiling on different (development and production) parallel platforms. The use of new and old parallel computing architectures leads to different behavior of the same code, which in all cases provides better performance in multiprocessor hardware.
format Articulo
Articulo
author Tinetti, Fernando Gustavo
Pérez, Maximiliano Jesús
Fraidenraich, Ariel
Altenberg, Adolfo E.
author_facet Tinetti, Fernando Gustavo
Pérez, Maximiliano Jesús
Fraidenraich, Ariel
Altenberg, Adolfo E.
author_sort Tinetti, Fernando Gustavo
title Legacy code and parallel computing: updating and parallelizing a numerical model
title_short Legacy code and parallel computing: updating and parallelizing a numerical model
title_full Legacy code and parallel computing: updating and parallelizing a numerical model
title_fullStr Legacy code and parallel computing: updating and parallelizing a numerical model
title_full_unstemmed Legacy code and parallel computing: updating and parallelizing a numerical model
title_sort legacy code and parallel computing: updating and parallelizing a numerical model
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/136985
work_keys_str_mv AT tinettifernandogustavo legacycodeandparallelcomputingupdatingandparallelizinganumericalmodel
AT perezmaximilianojesus legacycodeandparallelcomputingupdatingandparallelizinganumericalmodel
AT fraidenraichariel legacycodeandparallelcomputingupdatingandparallelizinganumericalmodel
AT altenbergadolfoe legacycodeandparallelcomputingupdatingandparallelizinganumericalmodel
bdutipo_str Repositorios
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