Integrated systems with billions of transistors on a single chip are a now reality. These systems include multi-core microprocessors and are built today using deca-nanometer devices organized into synchronous digital circuits. The movement of data within such systems is regulated by a set of predictable timing signals, called clocks, which must be distributed to a large number of sequential elements. Collectively, these clocks have a significant impact on the frequency of operation and, consequently, on the performance of the systems. The clocks are also responsible for a large fraction of the power consumed by these systems. The objective of this dissertation is to better understand clock distribution in order to identify opportunities and strategies for improvement by analyzing the conditions under which the optimal tradeoff between power and performance can be achieved, by modeling the constraints associated with local and global clocking, by evaluating the impact of noise, and by investigating promising new design strategies for future integrated systems.

In addition to the performance, low power design became an important issue in the design process of mobile embedded systems. Mobile electronics with rich features most often involve complex computation and intensive processing, which result in short battery lifetime and particularly when low power design is not taken in consideration. In addition to mobile computers, thermal design is also calling for low power techniques to avoid components overheat especially with VLSI technology. Low power design has traced a new era. In this thesis we examined several techniques to achieve low power design for FPGAs, ASICs and Processors where ASICs were more flexible to exploit the HW oriented techniques for low power consumption. We surveyed several power estimation methodologies where all of them were prone to at least one disadvantage. We also compared and analyzed the power and energy consumption in three different designs, which perform matrix multiplication within Altera platform and using state-of-the-art FPGA device. We concluded that NIOS II\e is not an energy efficient alternative to multiply nxn matrices compared to HW matrix multipliers on FPGAs and configware is an enormous potential to reduce the energy consumption costs.

Cette thèse traite le problème d'intégration hardware optimale de contrôleurs linéaires à taille de mot finie, dédiés aux applications MEMS. Le plus grand défi est d'assurer des performances de contrôle satisfaisantes avec un minimum de ressources logiques. Afin d'y parvenir, deux optimisations distinctes mais complémentaires peuvent être entreprises: en théorie de contrôle et en arithmétique binaire. Seule cette dernière est considérée dans ce travail.Comme cette arithmétique cible des applications MEMS, elle doit faire preuve de vitesse afin de prendre en charge la dynamique rapide des MEMS, à faible consommation de puissance pour un contrôle intégré, hautement re-configurabe pour un ajustement facile des performances de contrôle, et facilement prédictible pour fournir une idée précise sur les ressources logiques nécessaires avant l'implémentation même.L'exploration d'un certain nombre d'arithmétiques binaires a montré que l'arithmétique radix-2r est celle qui répond au mieux aux exigences précitées. Elle a été pleinement exploitée afin de concevoir des circuits de multiplication efficaces, qui sont au fait, le véritable moteur des systèmes linéaires.L'arithmétique radix-2r a été appliquée à l'intégration hardware de deux structures linéaires à taille de mot finie: un contrôleur PID variant dans le temps et à un contrôleur LQG invariant dans le temps,avec un filtre de Kalman. Le contrôleur PID a montré une nette supériorité sur ses homologues existants. Quant au contrôleur LQG, une réduction très importante des ressources logiques a été obtenue par rapport à sa forme initiale non optimisée / This thesis addresses the problem of optimal hardware-realization of finite-word-length(FWL) linear controllers dedicated to MEMS applications. The biggest challenge is to ensuresatisfactory control performances with a minimal hardware. To come up, two distinct butcomplementary optimizations can be undertaken: in control theory and in binary arithmetic. Only thelatter is involved in this work.Because MEMS applications are targeted, the binary arithmetic must be fast enough to cope withthe rapid dynamic of MEMS; power-efficient for an embedded control; highly scalable for an easyadjustment of the control performances; and easily predictable to provide a precise idea on therequired logic resources before the implementation.The exploration of a number of binary arithmetics showed that radix-2r is the best candidate that fitsthe aforementioned requirements. It has been fully exploited to designing efficient multiplier cores,which are the real engine of the linear systems.The radix-2r arithmetic was applied to the hardware integration of two FWL structures: a linear timevariant PID controller and a linear time invariant LQG controller with a Kalman filter. Both controllersshowed a clear superiority over their existing counterparts, or in comparison to their initial forms.