Abstract : In this paper, we present a part of the parallelization of a Matlab-like tool called \sci\ using high performance numerical libraries and different approaches based either on the duplication of \sci\ processes or using computational servers. This tool allows to perform high level operations on distributed matrices in a metacomputing environment. We also present performance results on different architectures.