The hardware complexity of modern integrated circuits keeps increasing at a steady pace.
Heterogeneous Multi-Processor Systems-on-Chips (MPSoCs) integrate general-purpose …

The majority of contemporary mobile devices and personal computers are based on
heterogeneous computing platforms that consist of a number of CPU cores and one or more …

With domain-specific models of computation and widely-used hardware acceleration
techniques, hardware/software codesign has the potential of being as agile as traditional …

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 Model of Computation and Communications (DF MoCCs) is a formalism used to
specify the behavior of Cyber-Physical Systems (CPSs). DF MoCCs are widely used in the …

Dataflow models of computation are capable of providing high-level descriptions for
hardware and software components and systems, facilitating efficient processes for system …

Dataflow is widely used as a model of computation in many application domains, especially
domains within the broad area of signal and information processing. The most common uses …