Abstract Large Scale Architectures,  as Grid Computing, provide resources allowing to handle complex problems, vast collections of data storage, specific processing and collaborative interaction between distributed communities.  Nowadays, there are several scientific applications that runs on Grid Computing architectures.  However, in most of these cases, applications need to be adapted in order to better exploit the capacities and opportunities of scalability, heterogeneity and pervasive characteristics of Grid Computing. Large   Scale   Computational   Electromagnetics problems place computational limitations in terms of hardware capacities.  Parallel approaches proposed to face the demand of Computational Electromagnetics (CEM) aim to provide solutions to tackle high degree of complexity of the application and interaction with these large scale architectures.  In this work, a description of the adaptation and implementation of Computational Electromagnetics solutions in a grid computing enabled environment is presented in terms of scientific results and performance associated with architectural opportunities.