Project Focus

hArtes aims to lay the foundation for a new holistic (end-to-end) approach for complex real-time embedded system design, with the latest algorithm exploration tools and reconfigurable hardware technologies.

From the application point of view, the complexity of future multimedia devices is becoming too big to design monolithic processing platforms. This is where the hArtes approach with reconfigurable heterogeneous systems becomes vital.

The proposed approach will address, for the first time, optimal and rapid design of embedded systems from high-level descriptions, targeting a combination of embedded processors, digital signal processing and reconfigurable hardware. We will develop modular and scalable hardware platforms that can be reused and re-targeted by the tool chain to produce optimized real-time embedded products.

The results will be evaluated using advanced audio and video systems that support next-generation communication and entertainment facilities, such as immersive audio and mobile video processing.

Innovations of our approach include:

• support for both diagrammatic and textual formats in algorithm description and exploration
• a framework that allows novel algorithms for design space exploration, which aims to automate design partitioning, task transformation, choice of data representation, and metric evaluation for both hardware and software components
• a system synthesis tool producing near-optimal implementations that best exploits the capability of each type of processing element; for instance, dynamic reconfigurability of hardware can be exploited to support function upgrade or adaptation to operating conditions.

Call Objective Summary

 As defined in the Embedded Systems Chapter of the IST 2005-06 Work Programme the objective is to “develop the next generation of technologies, methods and tools for modeling, design, implementation and operation of hardware/software systems embedded in intelligent devices. An end-to-end systems ( holistic) vision should allow building cost-efficient ambient intelligence systems with optimal performance, high confidence, reduced time to market and faster deployment”.

Synthetic Summary