Anne-Marie Fouilliart

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Today's heterogeneous embedded systems combine components from different domains, such as software, analogue hardware and digital hardware. The design and implementation of these systems is still a complex and error-prone task clue to the different Models of Computations (MoCs), design languages and tools associated with each of the domains. Though making(More)
In this paper we will present the ANDRES project. The main objective of ANDRES is the development of a seamless design flow for adaptive heterogeneous embedded systems based on the modelling language SystemC. The methodology and tools will enable early integration and exploration of system specifications using different Models of Computation as well as(More)
The intent of the recent H.264/AVC standard is to provide high quality video at low bit-rates and work effectively on a wide variety of networks and systems. A promising application is video broadcasting on mobile terminals butin practice, increased processing power and power management are required for embedded systems. In this paper, we consider an(More)
This paper will exemplarily describe and evaluate the OSSS methodology for embedded hardware/software systems and its use in a JPEG 2000 decoder case-study. The OSSS approach defines a design flow starting from an Application Model providing a rich subset of SystemC#8482;/C<sup>++</sup> augmented with specific OSSS language concepts. It can be used to(More)
For the design of classic computers the parallel programming concept is used to abstract HW/SW interfaces during high level specification of application software. The software is then adapted to existing multiprocessor platforms using a low level software layer that implements the programming model. Unlike classic computers, the design of heterogeneous(More)
In this paper, we focus on the design of a communication system based on reusing IP cores. Traditional methods for designing hardware cores for this kind of applications use a RTL specification. However, they suffer from heavy limitations that prevent them from efficiently addressing the algorithmic complexity and the high flexibility required by the(More)