Fast Implementation of a Bio-inspired Model for Decentralized Gathering

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-organization 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.