Dataflow programming models are well-suited to program many-core streaming
applications. However, many streaming applications have a dynamic behavior. To capture …

In order to achieve performance gains in the software, computers have evolvedto multi-core
and many-core platforms abounding with multiple processor cores. However the problem of …

The timed dataflow model of computation is a useful performance analysis tool for electronic
system level design automation and embedded software synthesis. Its determinism gives it …

The automotive industry has recently emphasized reducing the number of Electronic Control
Units (ECUs) installed in vehicles for economic and ecological reasons. This reduction …

Dataflow models of computation (MoCs) are widely used to design embedded signal
processing and streaming systems. Dozens of dataflow MoCs have been proposed in the …

A number of modeling approaches combining dataflow and finite-state machines (FSMs)
have been proposed to capture applications that combine streaming data with finite control …

Dataflow models, such as SDF, have been effectively used to program streaming
applications while ensuring their liveness and boundedness. Yet, industrials are struggling …

Multiprocessor mapping and scheduling is a long-old difficult problem. In this work we
propose a new methodology to perform mapping and scheduling along with buffer memory …

The development of multimedia technology, along with the emergence of parallel
architectures, has revived the interest on dataflow programming for designing embedded …

This paper studies the applicability of polyhedral techniques to the parallel language Open-
Stream [25]. When applicable, polyhedral techniques are invaluable for compile-time …