In the context of the emergence of alternative computing resources to address the challenge of the upcoming end of Moore's law, we consider the feasibility of gathering computational resources by means of decentralized and simple local rules. We study such decentralized gathering by means of a stochastic model inspired from biology: the aggregation of the Dictyostelium discoideum cellular slime mold. The environment transmits information according to a reaction-diffusion mechanism and the agents move by following excitation fronts. Despite its simplicity this model exhibits interesting properties of self-organisation and robustness to obstacles. In this paper we study the major challenges that must be solved when designing a fast embedded implementation of the decentralized gathering model.