In this paper, we consider the problem of hard-real-time (HRT) multiprocessor scheduling of
embedded streaming applications modeled as acyclic dataflow graphs. Most of the hard-real …

This paper presents a synthesis tool of real-time system scheduling parameters: ADFG
computes task periods and buffer sizes of systems as signal processing applications …

Performance and timing prediction of complex parallel data flow applications on multi-core
systems is still a very difficult discipline. The reason for it comes from the complexity of the …

Streaming applications usually run on heterogeneous multiprocessor platforms and are
required to have a high throughput, which in turn may increase the energy consumption. A …

Real-Time Calculus (RTC) is a modular performance analysis framework for real-time
embedded systems. It can be used to compute the worst-case and best-case response times …

The global scheduling of systems that can be modeled as collections of multiple
independent recurrent real-time tasks, each represented as a synchronous dataflow graph …

The synchronous dataflow model is widely used to design embedded stream-processing
applications under strict quality-of-service requirements (eg, buffering memory, throughput …

We consider the problem of representing timing information associated with functions in a
dataflow graph used to represent a signal processing system in the context of high-level …

Synchronous Data Flow (SDF) is a useful computational model in image processing,
computer vision, and DSP. Previously, throughput and buffer requirement analyses have …

Modern high-end embedded systems nowadays have to process enormous amounts of
data. In order to speed up the computations and fully exploit the resources of the underlying …