Concurrency in Computational Networks
Future generations of embedded multi-media systems will have an increasing need for compute platforms that combine high compute power with low energy consumption. To meet with these requirements, multi-processor systems must be used. These systems are in nature concurrent, and this concurrency in the architecture should be exploited. This requires that the concurrency is used in the mapping trajectory from the system specification to the hardware architecture. The concurrency in an application should therefore be extracted, and made explicit, in the models that are used to specify a system. To support the extraction of concurrency from an application, the model must contain a concurrency model. This concurrency model should support formal reasoning about concurrency.
This thesis present a model of computation that can be used to explicitly specify the concurrency in an application. This model of computation, the computational-network model, is based on the Kahn process network model. The computational-network model is extended with a concurrency model. This concurrency model is comprised of five main measures supported by a set of detailed measures. These measures provide an insight in the concurrency properties of the specified system. The thesis presents also a first implementation of the presented model of computation and concurrency model.
The thesis presents a case study that shows that all of these five measures are meaningful and do not overlap. These experiments suggest further that the measures are sufficient for obtaining good results; no more measures are needed. The design case shows also that it is possible to perform a concurrency optimization that is architecture independent and to obtain results similar to an optimization performed by an experienced designer that optimizes the application for a given architecture.