João G. F. M. Gazolla

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This paper proposes and describes a methodology developed to port complex scientific applications originally written in FORTRAN to nVidia CUDA. The significance of this lies in the fact that, despite the performance improvement and programmer-friendliness provided by CUDA, it presently lacks support for FORTRAN. The methodology described in this paper(More)
This paper proposes and describes a developed methodology to port complex scientific applications originally written in FORTRAN to the nVidia CUDA. The process was developed and validated by porting an existing FORTRAN weather and forecasting algorithm to a GPU parallel paradigm. We believe that the proposed porting methodology described can be successfully(More)
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