Scientific applications are increasingly getting complex, e.g. to improve their accuracy by taking into account more phenomena. Meanwhile, computing infrastructures are continuing their fast evolution. Thus, software engineering is becoming a major issue to achieve easiness of development, portability, maintenance, while achieving high performance. Software component model is a promising approach, which enables to manipulate the software architecture of an application. However, existing models do not provide enough support for performance portability. This paper proposes a low level component model (L2 C) that supports directly native connectors for typical scenarios of high performance computing, such as MPI, shared memory and method invocation. We walk through a typical example of stencil compu tation, i.e. 2-D Jacobi computation with domain decomposition. The experimental results show that L2 C can achieve the same p erformance as native implementations, while gaining benefits such as performance portability on the basis of the software com ponent model.