Nowadays, recent intensive signal processing applications are evolving and are characterized by the diversity of algorithms (filtering, correlation, etc.) and their numerous parameters. Having a flexible and pro-grammable system that adapts to changing and various characteristics of these applications reduces the design cost. In this context, we propose in this paper Generic Massively Parallel architecture (G-MPSoC). G-MPSoC is a System-on-Chip based on a grid of clusters of Hardware and Software Computation Elements with different size, performance, and complexity. It is composed of parametric IP-reused modules: processor, controller, accelerator, memory, interconnection network, etc. to build different architecture configurations. The generic structure of G-MPSoC facilitates its adaptation to the intensive signal processing applications requirements. This paper presents G-MPSoC architecture and details its different components. The FPGA-based implementation and the experimental results validate the architectural model choice and show the effectiveness of this design.