Fortran legacy code performance optimization : sequential and parallel processing with OpenMP
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ArticleDescription: 1 archivo (223,7 kB)Online resources: Summary: 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.
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Biblioteca de la Facultad de Informática | Biblioteca digital | A0253 (Browse shelf(Opens below)) | Link to resource | Recurso en Línea |
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)
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.
World Congress on Computer Science and Information Engineering (2009)