[tel-01081284] Modélisation à haut niveau d'abstraction de l'intégrité du signal dans les bus de communication

As a result of continuing growth of electronic technology, signal integrity analysis has now become a more and more critical challenge in the electronic systems design process. To address this issue, designers have introduced several approaches. However, due to the higher heterogeneity of modern applications, along with time-to-market constraints, a new modeling methodology is required to provide the system?s signal integrity performance at a high-level of abstraction. Moreover, it should be easily interoperable with the system?s functional model. The aim of this work is to propose a new modeling methodology for signal integrity analysis that can meet these requirements. Our method is based on the combination of two kinds of blocks, named functional blocks and non-functional blocks. They are built in C/C++ or SystemC/SystemC-AMS, in order to be easily simulated in a single environment. The functional block is used to model the ideal behavior of the system. The non-functional block is used to represent the highly nonlinear and non-ideal behaviors, caused by signal integrity issues. In the non-functional block, neural networks are used to model these non-ideal behaviors. To validate our method, we developed two applications based on I2C and USB 3.0 applications. Our method greatly increases simulation speed (99% faster than a SPICE model), while achieving a relative absolute error around 3%. Finally, our method is a flexible and modular approach since models can easily be parameterized and interoperable. In the future, this original method for high-level modeling of signal integrity could be integrated in the forthcoming design flows of cyber-physical systems.



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