Team DaRT

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Section: Overall Objectives

Introduction

For the last few years we have seen the beginning of the “design gap”. This gap is caused by the exponential growth of the integration rate of transistors on chips and the comparatively slower growth of the productivity of the integrated circuits designers. It is now impractical to fill a chip with custom designed logic. One has to reuse existing design parts or fill the chip area with memory (a good example of this evolution is the multi-core processors that include several existing processing cores instead of complexifying a single core). This evolution is clearly attested by the International Technology Roadmap on semiconductors.

In the same time, the computing power requirements of intensive signal processing applications such as video processing, voice recognition, telecommunications, radar or sonar are steadily increasing (several hundreds of Gops for low power embedded systems in a few years). If the design productivity does not increase dramatically, the limiting factor of the growth of the semiconductor industry will not be the physical limitations due to the thinness of the fabrication process but the economy! Indeed we ask to the system design teams to build more complex systems faster, cheaper, bug free and decreasing the power consumption...

We propose in the DaRT project to contribute to the improvement of the productivity of the electronic embedded system design teams. We structure our approach around a few key ideas:

All these ideas are implemented into a prototype co-design environment based on a model driven engineering approach, Gaspard. This open source platform is our test bench and is freely available.

The main technologies we promote are UML 2 [40] , MDE  [77] and Eclipse EMF  [56] for the modeling and model handling; Array-OL  [50] , [51] , [48] , [47] and synchronous languages [44] as computation models with strong semantics for verification; SystemC  [75] for the simulation; OpenMP for the shared memory parallel execution; VHDL for the synthesis; and Java to code our prototypes.


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