Productivity for digital circuit design is being outpaced currently by the rate at which<br />silicon is growing such as FPGAs. Complex designs take a large amount of engineering<br />hours to complete. Reuse of existing design can potentially decrease this cost and increase<br />design productivity. However, existing digital hardware designs are not being effectively<br />reused by the hardware community due to the inability of designers to have knowledge of<br />all the attributes of designs that can be reused. In addition, designers will have to accustom<br />themselves to designs in the hardware library. By having a back-end system that looks for<br />similar circuits, there is little to no effort for the designer to reuse the design. This thesis<br />provides an overview and comparison of different methods for characterizing and comparing<br />digital circuits in order to suggest candidate circuits that engineers can reuse. Several of<br />these methods are implemented, modified, and compared to show the feasibility of utilizing<br />this work for increasing overall productivity.<br /> / Master of Science

L’objet de la thèse est la modélisation de systèmes hétérogènes intégrant différents domaines de la physique et à signaux mixtes, numériques et analogiques (AMS). Une étude approfondie de différentes techniques d’extraction et de calibration de modèles comportementaux de composants analogiques à différents niveaux d’abstraction et de précision est présentée. Cette étude a mis en lumière trois approches principales qui ont été validées par la modélisation de plusieurs applications issues de divers domaines: un amplificateur faible bruit (LNA), un capteur chimique basé sur des ondes acoustiques de surface (SAW), le développement à plusieurs niveaux d’abstraction d’un capteur CMOS vidéo, et son intégration dans une plateforme industrielle. Les outils développés sont basés sur les extensions AMS du standard IEEE 1666 SystemC mais les techniques proposées sont facilement transposables à d’autres langages tels que VHDL-AMS ou Verilog-AMS utilisés en conception de dispositifs mixtes. / The thesis objective is the modeling of heterogeneous systems. Such systems integrate different physical domains (mechanical, chemical, optical or magnetic) therefore integrate analog and mixed- signal (AMS) parts. The aim is to provide a methodology based on high-level modeling for assisting both the design and the verification of AMS systems. A study on different techniques for extracting behavioral models of analog devices at different abstraction levels and computational weights is presented. Three approaches are identified and regrouped in three techniques. These techniques have been validated through the virtual prototyping of different applications issued from different domains: a low noise amplifier (LNA), a surface acoustic wave-based (SAW) chemical sensor, a CMOS video sensor with models developed at different abstraction levels and their integration within an industrial platform. The flows developed are based on the AMS extensions of the SystemC (IEEE 1666) standard but the methodologies can be implemented using other Analog Hardware Description Languages (VHDL-AMS, Verilog-AMS) typically used for mixed-signal microelectronics design.