This work presents the application of parallel computing techniques to solve two scientific computing applications over the Latin America-Europe GISELA grid computing platform. The article describes two scientific computing applications –the semi-automatic processing of historical climate images and a software package for fluid dynamics– which usually require large computing times when applied to realistic scenarios. The proposal of applying parallel computing techniques over the GISELA grid infrastructure is formulated, and the implemented solutions are described. A preliminary experimental analysis is reported, presenting the estimated efficiency gains when using the grid infrastructure.Sociedad Argentina de Informática e Investigación Operativ
