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

By:

Tinetti, Fernando Gustavo

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Material type: Article

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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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Item type	Home library	Collection	Call number	URL	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	Biblioteca digital	A0253 (Browse shelf(Opens below))	Link to resource	No corresponde

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Previous	A0250 Dynamic load balancing on non-homogeneous clusters	A0251 Engineering accessible web applications : an aspect-oriented approach	A0252 Face recognition using SIFT and binary PSO descriptors	A0253 Fortran legacy code performance optimization : sequential and parallel processing with OpenMP	A0254 Hard real-time scheduling : the deadline-monotonic approach	A0255 Performance comparison of VxWorks, Linux, RTAI, and Xenomai in a hard real time application	A0256 Improving the quality of Web-GIS modularity with aspects	Next

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)