This book is concerned with the improvement of the programming experience of today's and
upcoming embedded systems in the multimedia and wireless communication domains. In …

The increasing software content in current and future embedded systems has forced
academia and industry to devise new programming methodologies. Only with new methods …

In this article, an efficient rule-based clustering algorithm for static dataflow subgraphs in a
dynamic dataflow graph is presented. The clustered static dataflow actors are quasi …

In this chapter, different application modeling approaches based on the integration of finite
state machines with dataflow models are reviewed. A particular focus is put on the …

Signal processing algorithms as can be found in multimedia applications are often modeled
by dynamic Data Flow Graphs (DFGs), especially when targeting heterogeneous multicore …

Choosing the right programming model for multiprocessor System-on-Chip (MPSoC)
platforms is a challenging task: in order to provide for automatic hardware/software synthesis …

The dataflow-model of computation is widely used in design and implementation of signal
processing systems. In dataflow-based design processes, scheduling—the assignment and …

Dataflow models of computation are often used in model-based MPSoC design flows, as
they naturally expose the parallelism contained in an application. In a dataflow model …

In this chapter, different application modeling approaches based on the integration of finite
state machines with dataflow models are reviewed. Many well-known Models of …

In the design and implementation of digital signal processing (DSP) systems, dataflow is
recognized as a natural model for specifying applications, and dataflow enables useful …