Fortran legacy code performance optimization : sequential and parallel processing with OpenMP

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Detalles Bibliográficos
Autor Principal: Tinetti, Fernando Gustavo
Otros autores o Colaboradores: López, Mónica A., Cajaraville, Pedro G., Rodrigues, Diego L.
Formato: Capítulo de libro
Lengua:inglés
Acceso en línea:http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5171383
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Resumen:Several optimization alternatives are presented for legacy Fortran 77 scientific programs, each one with a quantitative characterization in terms of performance gain. Initially, sequential optimization is focused on the analisys of Level 3 BLAS (Basic Linear Algebra Subroutines) utiliza- tion, since BLAS have several performance optimized implementations. Also, the Fortran 90/95 array notation is used as a code upgrade from Fortran 77 to Fortran 90/95 and, also, to provide the compiler a better source code for performance optimization. Since the shared memory parallel computing model is widely available (multiple cores and/or processors), the analysis of possible parallel processing via OpenMP is presented, along with the performance gain in a specific case. Sequential optimization as well parallelization work is done on a real (production code) program: a weather climate model implemented about two decades ago and used for climate research.
Notas:Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática-UNLP (Colección BIPA / Biblioteca.) -- Disponible también en línea (Cons. 10/06/2014)
Descripción Física:1 archivo (223,7 kB)

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520 |a Several optimization alternatives are presented for legacy Fortran 77 scientific programs, each one with a quantitative characterization in terms of performance gain. Initially, sequential optimization is focused on the analisys of Level 3 BLAS (Basic Linear Algebra Subroutines) utiliza- tion, since BLAS have several performance optimized implementations. Also, the Fortran 90/95 array notation is used as a code upgrade from Fortran 77 to Fortran 90/95 and, also, to provide the compiler a better source code for performance optimization. Since the shared memory parallel computing model is widely available (multiple cores and/or processors), the analysis of possible parallel processing via OpenMP is presented, along with the performance gain in a specific case. Sequential optimization as well parallelization work is done on a real (production code) program: a weather climate model implemented about two decades ago and used for climate research. 
534 |a World Congress on Computer Science and Information Engineering (2009) 
700 1 |a López, Mónica A. 
700 1 |a Cajaraville, Pedro G. 
700 1 |a Rodrigues, Diego L. 
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