Synchronous languages are used to program critical reactive systems. Today, systems require to find a way to execute them safely and in parallel. Parallelism has always been part of synchronous langages, but for modeling purpose. Their formal semantics allow to distribute them, but preserving the semantics may be ressource costly and prevent good parallel execution.The Kahn networks model is of great interest. It models distributed computers, communicating through unbounded FIFOs, ensuring that the computed values are deterministic, without any need of added synchronization.We develop the langage Heptagon, a first order functional synchronous son of Lustre.The compiler is an academic prototype of the industrial tool Scade. Thanks to its Kahn semantics, it can be distributed. In order to be efficient, one need to maximize the decoupling of computations and maximize the computation granularity. However, synchronous langages allow for very tight computation coupling and usually require thin computation granularity to ensure reactivity of the system.We opt for two research directions. The first one is to give the control of the execution parallelism to the programer. To this mean, we add futures to the source langage Heptagon. They provide control over starting and end of parallel computations, while preserving the functional semantics. Moreover, we provide a compilation for embedded systems, using statically allocated memory. The second one is to study Kahn synchronous semantics to understand data dependencies and maximize granularity of the computations. This touches deeply to the synchronous languages, mixing the usually separated questions of causality and clock calculus. We define the class of reactive ordered Kahn networks. They are the one which may be modularly compiled and whose behavior may be expressed with a clock signature. Moreover, we show that their is a normal form for this signature, maximizing the granularity of the network. To express it, we extend clocks to integer clocks. Then we come back to the synchronous languages we know to understand how to use it. The result is fully used and explained on Lucy-n, the synchronous language closest to Kahn networks.
