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Los Angeles, CA
March 31, 2009 to April 2, 2009
ISBN: 978-0-7695-3507-4
pp: 471-475
ABSTRACT
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) utilization, 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 90/95and, 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.
CITATION
Fernando G. Tinetti, Mónica A. López, Pedro G. Cajaraville, Diego L. Rodrigues, "Fortran Legacy Code Performance Optimization: Sequential and Parallel Processing with OpenMP", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 471-475, doi:10.1109/CSIE.2009.90
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