A fast and efficient hierarchical optimization engine was developed to benchmark and optimize various emerging device and interconnect technologies and system-level innovations at the early design stage. As the semiconductor industry approaches sub-20nm technology nodes, both devices and interconnects are facing severe physical challenges. Many novel device and interconnect concepts and system integration techniques are proposed in the past decade to reinforce or even replace the conventional Si CMOS technology and Cu interconnects. To efficiently benchmark and optimize these emerging technologies, a validated system-level design methodology is developed based on the compact models from all hierarchies, starting from the bottom material-level, to the device- and interconnect-level, and to the top system-level models. Multiple design parameters across all hierarchies are co-optimized simultaneously to maximize the overall chip throughput instead of just the intrinsic delay or energy dissipation of the device or interconnect itself. This optimization is performed under various constraints such as the power dissipation, maximum temperature, die size area, power delivery noise, and yield. For the device benchmarking, novel graphen PN junction devices and InAs nanowire FETs are investigated for both high-performance and low-power applications. For the interconnect benchmarking, a novel local interconnect structure and hybrid Al-Cu interconnect architecture are proposed, and emerging multi-layer graphene interconnects are also investigated, and compared with the conventional Cu interconnects. For the system-level analyses, the benefits of the systems implemented with 3D integration and heterogeneous integration are analyzed. In addition, the impact of the power delivery noise and process variation for both devices and interconnects are quantified on the overall chip throughput.

La technologie CMOS à base de Silicium complètement déserté sur isolant (FDSOI) est considérée comme une option privilégiée pour les applications à faible consommation telles que les applications mobiles ou les objets connectés. Elle doit cela à son architecture garantissant un excellent comportement électrostatique des transistors ainsi qu'à l'intégration de canaux contraints améliorant la mobilité des porteurs. Ce travail de thèse explore des solutions innovantes en FDSOI pour nœuds 20nm et en deçà, comprenant l'ingénierie de la contrainte mécanique à travers des études sur les matériaux, les dispositifs, les procédés d'intégration et les dessins des circuits. Des simulations mécaniques, caractérisations physiques (µRaman), et intégrations expérimentales de canaux contraints (sSOI, SiGe) ou de procédés générant de la contrainte (nitrure, fluage de l'oxyde enterré) nous permettent d'apporter des recommandations pour la technologie et le dessin physique des transistors en FDSOI. Dans ce travail de thèse, nous avons étudié le transport dans les dispositifs à canal court, ce qui nous a amené à proposer une méthode originale pour extraire simultanément la mobilité des porteurs et la résistance d'accès. Nous mettons ainsi en évidence la sensibilité de la résistance d'accès à la contrainte que ce soit pour des transistors FDSOI ou nanofils. Nous mettons en évidence et modélisons la relaxation de la contrainte dans le SiGe apparaissant lors de la gravure des motifs et causant des effets géométriques (LLE) dans les technologies FDSOI avancées. Nous proposons des solutions de type dessin ainsi que des solutions technologiques afin d'améliorer la performance des cellules standard digitales et de mémoire vive statique (SRAM). En particulier, nous démontrons l'efficacité d'une isolation duale pour la gestion de la contrainte et l'extension de la capacité de polarisation arrière, qui un atout majeur de la technologie FDSOI. Enfin, la technologie 3D séquentielle rend possible la polarisation arrière en régime dynamique, à travers une co-optimisation dessin/technologie (DTCO). / The Ultra-Thin Body and Buried oxide Fully Depleted Silicon On Insulator (UTBB FDSOI) CMOS technology has been demonstrated to be highly efficient for low power and low leakage applications such as mobile, internet of things or wearable. This is mainly due to the excellent electrostatics in the transistor and the successful integration of strained channel as a carrier mobility booster. This work explores scaling solutions of FDSOI for sub-20nm nodes, including innovative strain engineering, relying on material, device, process integration and circuit design layout studies. Thanks to mechanical simulations, physical characterizations and experimental integration of strained channels (sSOI, SiGe) and local stressors (nitride, oxide creeping, SiGe source/drain) into FDSOI CMOS transistors, we provide guidelines for technology and physical circuit design. In this PhD, we have in-depth studied the carrier transport in short devices, leading us to propose an original method to extract simultaneously the carrier mobility and the access resistance and to clearly evidence and extract the strain sensitivity of the access resistance, not only in FDSOI but also in strained nanowire transistors. Most of all, we evidence and model the patterning-induced SiGe strain relaxation, which is responsible for electrical Local Layout Effects (LLE) in advanced FDSOI transistors. Taking into account these geometrical effects observed at the nano-scale, we propose design and technology solutions to enhance Static Random Access Memory (SRAM) and digital standard cells performance and especially an original dual active isolation integration. Such a solution is not only stress-friendly but can also extend the powerful back-bias capability, which is a key differentiating feature of FDSOI. Eventually the 3D monolithic integration can also leverage planar Fully-Depleted devices by enabling dynamic back-bias owing to a Design/Technology Co-Optimization.