Parallelization methodologies allow to automate the process of designing optimal processor arrays based on mathematical representations of the algorithm to be implemented. In this work, an optimized multiprojection approach based on the Polytope model is proposed as well as an automated way for getting the scheduler and the allocator vectors. Using a recurrence equations representation, three key criteria for choosing the characteristics of the final implementation are also proposed. As a case of study, the methodology is applied on a matrix-vector multiplication example. Results and relevance of the proposed methodology are finally discussed.