1,501 research outputs found

    Programmable photonics : an opportunity for an accessible large-volume PIC ecosystem

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    We look at the opportunities presented by the new concepts of generic programmable photonic integrated circuits (PIC) to deploy photonics on a larger scale. Programmable PICs consist of waveguide meshes of tunable couplers and phase shifters that can be reconfigured in software to define diverse functions and arbitrary connectivity between the input and output ports. Off-the-shelf programmable PICs can dramatically shorten the development time and deployment costs of new photonic products, as they bypass the design-fabrication cycle of a custom PIC. These chips, which actually consist of an entire technology stack of photonics, electronics packaging and software, can potentially be manufactured cheaper and in larger volumes than application-specific PICs. We look into the technology requirements of these generic programmable PICs and discuss the economy of scale. Finally, we make a qualitative analysis of the possible application spaces where generic programmable PICs can play an enabling role, especially to companies who do not have an in-depth background in PIC technology

    Experimental study of artificial neural networks using a digital memristor simulator

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    © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.This paper presents a fully digital implementation of a memristor hardware simulator, as the core of an emulator, based on a behavioral model of voltage-controlled threshold-type bipolar memristors. Compared to other analog solutions, the proposed digital design is compact, easily reconfigurable, demonstrates very good matching with the mathematical model on which it is based, and complies with all the required features for memristor emulators. We validated its functionality using Altera Quartus II and ModelSim tools targeting low-cost yet powerful field programmable gate array (FPGA) families. We tested its suitability for complex memristive circuits as well as its synapse functioning in artificial neural networks (ANNs), implementing examples of associative memory and unsupervised learning of spatio-temporal correlations in parallel input streams using a simplified STDP. We provide the full circuit schematics of all our digital circuit designs and comment on the required hardware resources and their scaling trends, thus presenting a design framework for applications based on our hardware simulator.Peer ReviewedPostprint (author's final draft

    Programmable photonic circuits

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    [EN] The growing maturity of integrated photonic technology makes it possible to build increasingly large and complex photonic circuits on the surface of a chip. Today, most of these circuits are designed for a specific application, but the increase in complexity has introduced a generation of photonic circuits that can be programmed using software for a wide variety of functions through a mesh of on-chip waveguides, tunable beam couplers and optical phase shifters. Here we discuss the state of this emerging technology, including recent developments in photonic building blocks and circuit architectures, as well as electronic control and programming strategies. We cover possible applications in linear matrix operations, quantum information processing and microwave photonics, and examine how these generic chips can accelerate the development of future photonic circuits by providing a higher-level platform for prototyping novel optical functionalities without the need for custom chip fabricationBogaerts, W.; PĂ©rez-LĂłpez, D.; Capmany Francoy, J.; Miller, DAB.; Poon, J.; Englund, D.; Morichetti, F.... (2020). Programmable photonic circuits. Nature. 586(7828):207-216. https://doi.org/10.1038/s41586-020-2764-0S2072165867828Chen, X. et al. The emergence of silicon photonics as a flexible technology platform. Proc. IEEE 106, 2101–2116 (2018).Smit, M., Williams, K. & van der Tol, J. Past, present, and future of InP-based photonic integration. APL Photonics 4, 050901 (2019).Capmany, J. & Perez, D. Programmable Integrated Photonics (Oxford Univ. Press, 2020). The first book on the subject of programmable photonics gives a detailed overview of the fundamental principles, architectures and potential applications.Marpaung, D., Yao, J. & Capmany, J. Integrated microwave photonics. Nat. Photon. 13, 80–90 (2019).Zhuang, L., Roeloffzen, C. G. H., Hoekman, M., Boller, K. & Lowery, A. J. Programmable photonic signal processor chip for radiofrequency applications. Optica 2, 854–859 (2015).Shen, Y. et al. Deep learning with coherent nanophotonic circuits. Nat. Photon. 11, 441–446 (2017).Harris, N. C. et al. Linear programmable nanophotonic processors. Optica 5, 1623–1631 (2018). One of the largest-scale demonstrations of a programmable photonic circuit, using a silicon photonics forward-only mesh that maps 26 input modes onto 26 output modes, for use in deep learning and quantum information processing.Miller, D. A. B. Self-configuring universal linear optical component. Photon. Res. 1, 1–15 (2013). This foundational paper in the field of programmable photonics is the first to bring together waveguide meshes with self-configuration algorithms that require no active computation, including the concept of the self-aligning beam coupler.Carolan, J. et al. Universal linear optics. Science 349, 711–716 (2015).Harris, N. C. et al. Large-scale quantum photonic circuits in silicon. Nanophotonics 5, 456–468 (2016).Notaros, J. et al. Programmable dispersion on a photonic integrated circuit for classical and quantum applications. Opt. Express 25, 21275–21285 (2017).Clements, W. R., Humphreys, P. C., Metcalf, B. J., Kolthammer, W. S. & Walmsley, I. A. An optimal design for universal multiport interferometers. Optica 12, 1460–1465 (2016).Perez-Lopez, D. Programmable integrated silicon photonics waveguide meshes: optimized designs and control algorithms. IEEE J. Sel. Top. Quantum Electron. 26, 8301312 (2020).Ribeiro, A., Ruocco, A., Vanacker, L. & Bogaerts, W. Demonstration of a 4×4-port universal linear circuit. Optica 3, 1348–1357 (2016).Harris, N. C. et al. Quantum transport simulations in a programmable nanophotonic processor. Nat. Photon. 11, 447–452 (2017).Mennea, P. L. et al. Modular linear optical circuits. Optica 5, 1087–1090 (2018).Taballione, C. et al. 8×8 programmable quantum photonic processor based on silicon nitride waveguides. In Frontiers in Optics, JTu3A.58 (Optical Society of America, 2018). A demonstration of an 8 × 8 forward-only programmable linear circuit in silicon nitride that benefits from the notably low optical losses of this material and is therefore attractive for linear quantum operations on single photons.Perez, D. et al. Silicon photonics rectangular universal interferometer. Laser Photonics Rev. 11, 1700219 (2017).Xie, Y. et al. Programmable optical processor chips: toward photonic RF filters with DSP-level flexibility and MHz-band selectivity. Nanophotonics 7, 421–454 (2017). 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Multidimensional quantum entanglement with large-scale integrated optics. Science 360, 285–291 (2018).Schaeff, C., Polster, R., Huber, M., Ramelow, S. & Zeilinger, A. Experimental access to higher-dimensional entangled quantum systems using integrated optics. Optica 2, 523–529 (2015).Shadbolt, P. J. et al. Generating, manipulating and measuring entanglement and mixture with a reconfigurable photonic circuit. Nat. Photon. 6, 45–49 (2012).Miller, D. A. B. Waves, modes, communications, and optics: a tutorial. Adv. Opt. Photonics 11, 679 (2019).Miller, D. A. B. Self-aligning universal beam coupler. Opt. Express 21, 6360–6370 (2013).Miller, D. A. B. Perfect optics with imperfect components. Optica 2, 747–750 (2015).Annoni, A. et al. Unscrambling light—automatically undoing strong mixing between modes. Light Sci. Appl. 6, e17110 (2017). Early demonstration of a forward-only programmable mesh used to unmix different modes in a waveguide, implementing integrated transparent detectors that measure the light intensity in the waveguide without inducing additional optical loss.Pai, S. et al. Parallel programming of an arbitrary feedforward photonic network. IEEE J. Sel. Top. Quantum Electron. 25, 6100813 (2020).Reck, M., Zeilinger, A., Bernstein, H. J. & Bertani, P. Experimental realization of any discrete unitary operator. Phys. Rev. Lett. 73, 58–61 (1994).Wang, M., Alves, A. R., Xing, Y. & Bogaerts, W. Tolerant, broadband tunable 2×2 coupler circuit. Opt. Express 28, 5555–5566 (2020).PĂ©rez-LĂłpez, D., Gutierrez, A. M., SĂĄnchez, E., DasMahapatra, P. & Capmany, J. Integrated photonic tunable basic units using dual-drive directional couplers. Opt. Express 27, 38071 (2019).Choutagunta, K., Roberts, I., Miller, D. A. B. & Kahn, J. M. Adapting Mach–Zehnder mesh equalizers in direct-detection mode-division-multiplexed links. J. Light. Technol. 38, 723–735 (2020).Miller, D. A. B. Analyzing and generating multimode optical fields using self-configuring networks. Optica 7, 794–801 (2020).Morizur, J.-F. et al. Programmable unitary spatial mode manipulation. J. Opt. Soc. Am. A 27, 2524 (2010).Labroille, G. et al. Efficient and mode selective spatial mode multiplexer based on multi-plane light conversion. Opt. Express 22, 15599–15607 (2014).Tanomura, R., Tang, R., Ghosh, S., Tanemura, T. & Nakano, T. Robust integrated optical unitary converter using multiport directional couplers. J. Light. Technol. 38, 60–66 (2020).Miller, D. A. B. Setting up meshes of interferometers – reversed local light interference method. Opt. Express 25, 29233 (2017).Li, H. W. et al. Calibration and high fidelity measurement of a quantum photonic chip. New J. Phys. 15, 063017 (2013).Cong, G. et al. 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Comparison of heater architectures for thermal control of silicon photonic circuits. In Proc. 10th Int. Conference on Group IV Photonics 83–84 (IEEE, 2013).Milanizadeh, M., Aguiar, D., Melloni, A. & Morichetti, F. Canceling thermal cross-talk effects in photonic integrated circuits. J. Light. Technol. 37, 1325–1332 (2019).Soref, R. A. & Bennett, B. R. Electrooptical effects in silicon. IEEE J. Quantum Electron. 23, 123–129 (1987).Reed, G. T., Mashanovich, G., Gardes, F. Y. & Thomson, D. J. Silicon optical modulators. Nat. Photon. 4, 518–526 (2010); corrigendum 4, 660 (2010).Memon, F. A. et al. Silicon oxycarbide platform for integrated photonics. J. Light. Technol. 38, 784–791 (2020).Jin, W., Polcawich, R. G., Morton, P. A. & Bowers, J. E. Piezoelectrically tuned silicon nitride ring resonator. Opt. Express 26, 3174–3187 (2018).Hosseini, N. et al. Stress-optic modulator in TriPleX platform using a piezoelectric lead zirconate titanate (PZT) thin film. Opt. Express 23, 14018 (2015).De Cort, W., Beeckman, J., Claes, T., Neyts, K. & Baets, R. Wide tuning of silicon-on-insulator ring resonators with a liquid crystal cladding. Opt. Lett. 36, 3876–3878 (2011).Xing, Y. et al. Digitally controlled phase shifter using an SOI slot waveguide with liquid crystal infiltration. IEEE Photonics Technol. Lett. 27, 1269–1272 (2015).Abel, S. et al. Large Pockels effect in micro- and nanostructured barium titanate integrated on silicon. Nat. Mater. 18, 42–47 (2019).Desiatov, B., Shams-Ansari, A., Zhang, M., Wang, C. & Lončar, M. Ultra-low-loss integrated visible photonics using thin-film lithium niobate. Optica 6, 380 (2019).Alexander, K. et al. Nanophotonic Pockels modulators on a silicon nitride platform. Nat. Commun. 9, 3444 (2018).Leuthold, J. et al. Silicon-organic hybrid electro-optical devices. IEEE J. Sel. Top. Quantum Electron. 19, 114–126 (2013).Errando-Herranz, C. et al. MEMS for photonic integrated circuits. IEEE J. Sel. Top. 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Automated routing and control of silicon photonic switch fabrics. IEEE J. Sel. Top. Quantum Electron. 22, 169–176 (2016).Dumais, P. et al. Silicon photonic switch subsystem with 900 monolithically integrated calibration photodiodes and 64-fiber package. J. Light. Technol. 36, 233–238 (2018).Chen, H., Luo, X. & Poon, A. W. Cavity-enhanced photocurrent generation by 1.55 ÎŒm wavelengths linear absorption in a p–i–n diode embedded silicon microring resonator. Appl. Phys. Lett. 95, 171111 (2009).Ribeiro, A. & Bogaerts, W. Digitally controlled multiplexed silicon photonics phase shifter using heaters with integrated diodes. Opt. Express 25, 29778 (2017).Zimmermann, L. et al. BiCMOS silicon photonics platform. In Optical Fiber Communication Conference Th4E-5 (Optical Society of America, 2015).Orcutt, J. S. et al. Nanophotonic integration in state-of-the-art CMOS foundries. Opt. Express 19, 2335–2346 (2011).Stojanović, V. et al. 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    Providing Bi-Directional, Analog, and Differential Signal Transmission Capability to an Electronic Prototyping Platform

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    RÉSUMÉ Les rĂ©seaux d’interconnexions programmables (FPIN) se retrouvent largement utilisĂ©s dans plusieurs structures bien connues telles que les FPGA, les plateformes de prototypages ainsi que dans plusieurs architectures de rĂ©seaux intĂ©grĂ©s. Le but de la prĂ©sente thĂšse est d’amĂ©liorer la structure actuelle des FPIN ainsi que les plateformes de prototypages se basant sur cette technologie afin d’y intĂ©grer d’autres fonctionnalitĂ©s telles que des interfaces pour les signaux bidirectionnels de type drain-ouvert, les signaux analogiques ou bien les signaux diïŹ€Ă©rentiels. Cette thĂšse prĂ©sente trois diïŹ€Ă©rents circuits qui ont Ă©tĂ© implĂ©mentĂ©s dans cette optique. Les interconnexions de ces trois circuits peuvent ĂȘtre reconfigurĂ©es pour supporter une interface de type bidirectionnelle drain-ouvert, de type analogique ou diïŹ€Ă©rentielle, le tout au travers un rĂ©seau d’interconnexions configurable numĂ©rique unidirectionnel, ou FPIN. Le besoin d’une telle interface fut tout d’abord envisagĂ© dans le contexte du WaferBoard, qui consiste en une plateforme reconfigurable de prototypage pour les systĂšmes Ă©lectroniques. Le cƓur de ce WaferBoard consiste en un circuit intĂ©grĂ© Ă  l’échelle d’une tranche entiĂšre de silicium, qui est constituĂ© d’une matrice bidimensionnelle de cellules. Une large partie de la surface disponible s’en retrouve dĂ©jĂ  utilisĂ©e par des plots configurables (CIO), l’aiguillage des multiplexeurs du FPIN, des registres dĂ©diĂ©s Ă  la chaine JTAG et d’autres circuiteries de contrĂŽle. De ce fait, il en devient primordial que les interfaces bidirectionnelle drain-ouvert, analogique et diïŹ€Ă©rentielle soit les plus compactes possibles. Puisque ces circuits d’interfaces seront dĂ©diĂ©s pour une plateforme utilisant une tranche de silicium (wafer-scale), l’architecture de ces derniers doit ĂȘtre robuste en regard des variations de procĂ©dĂ©, de la tempĂ©rature ainsi que de l’alimentation. La premiĂšre contribution de cette thĂšse est l’élaboration et la conception d’une interface de type drain-ouvert ainsi que de son support d’interconnexion bidirectionnel utilisant un rĂ©seau numĂ©rique unidirectionnel Ă  signalisation asymĂ©trique (Ă  l’opposĂ© de la signalisation diïŹ€Ă©rentielle) FPIN. L’interface proposĂ©e peut interconnecter plusieurs nƓuds d’un FPIN. À l’aide de cette interface, le rĂ©seau d’interconnexions peut imiter le comportement et le fonctionnement d’un bus de type drain-ouvert (ou collecteur-ouvert) (tel qu’utilisĂ© par le protocole I2C). De ce fait, plusieurs plots de type drain-ouvert provenant d’une multitude de circuits-intĂ©grĂ©s (ICs) diïŹ€Ă©rents peuvent y ĂȘtre connectĂ©s au travers le FPIN Ă  l’aide de l’interface proposĂ©e.----------ABSTRACT Field programmable interconnection networks (FPINs) are ubiquitously found embedded in field-programmable gate arrays (FPGAs), in prototyping platforms, and in many Network-on-Chip architectures. The aim of this research was to augment the application domains of current FPIN-based prototyping and emulation platforms by supporting open-drain bi-directional signals, analog signals or diïŹ€erential signals. Three interface circuits have been elaborated and developed to that end in this thesis. These three interface circuits can support reconfigurable routing of open-drain bi-directional, analog and diïŹ€erential signals through an uni-directional digital FPIN. The need for such interface circuits were originally conceived in the context of the WaferBoard, a system prototyping platform. The core of the WaferBoard is a wafer-scale IC that is composed of a two dimensional array of unit cells. Available area was already over-utilized by the configurable I/O (CIO) buïŹ€ers, crossbar multiplexers of the FPIN, registers of the JTAG chain, and other control circuits. Thus, the interface circuits for open-drain bi-directional, analog and diïŹ€erential signaling had to be made very compact. As the implementation of these interface circuits target “wafer-scale” integration, these interface circuits had to be very robust to parametric variations (process, temperature, power supply). The first contribution of this thesis is the elaboration and development of an open-drain interface circuit and a corresponding interconnect topology to support bi-directional communication through the uni-directional digital FPIN of prototyping platforms. The proposed interface can interconnect multiple nodes in a FPIN. With that interface, the interconnection network imitates the behavior of open-drain (or open-collector) buses (e.g., those following the I2C protocol). Thus, multiple open-drain I/Os from external integrated circuits (ICs) can be connected together through the FPIN by the proposed interface circuit. The interface that has been fabricated in a 0.13 ”m CMOS technology takes 65 ”m × 22 ”m per pin. Test results show that several instances of this interface can be interconnected through the proposed interconnect topology

    Design and prototyping of a network-enabled low-cost low-power seismic sensor monitoring system

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    Esta tese explora recentes desenvolvimentos em tecnologias de informação, comunicaçÔes e sensores no campo da sismologia. A tese aborda o potencial das redes de monitorização sĂ­smica de elevada densidade na melhoria da resolução da actividade sĂ­smica observada e, consequentemente, na melhor compreensĂŁo dos processos fĂ­sicos que estĂŁo na base da ocorrĂȘncia de terramotos. A tese argumenta que a tecnologia de sistemas de microelectromecĂąnica (MEMS), usada na produção de acelerĂłmetros de pequena dimensĂŁo, tem aplicabilidade e elevado potencial no domĂ­nio da sismologia. AcelerĂłmetros MEMS jĂĄ facilitaram a instalação de redes sĂ­smicas de elevada densidade com superior resolução espacial pela Universidade da CalifĂłrnia (Rede SĂ­smica ComunitĂĄria) e pela Universidade de Évora (Rede SĂ­smica de Sensores do Alentejo), esta Ășltima ainda em fase de instalação. Neste contexto, a tese descreve o trabalho conduzido no desenho e desenvolvimento de sistemas de sensores baseados em acelerĂłmetros MEMS. Este trabalho inclui a conceptualização de componentes de arquitectura usados para a implementação de quatro protĂłtipos. Adicionalmente, foram tambĂ©m desenvolvidos os componentes necessĂĄrios para a operação e gestĂŁo da rede de sensores, que inclui servidores dedicados a operar software especificamente desenvolvido neste trabalho. A tese descreve tambĂ©m a instalação e avaliação de protĂłtipos, usando como base de comparação uma estação sĂ­smica de elevado desempenho, recorrendo inclusivamente Ă  actividade sĂ­smica resultante de dois eventos sĂ­smicos. A tese conclui que a arquitectura conceptualizada para o sistema sensor e para a rede de sensores demonstrou ser eficaz. Adicionalmente, embora a tecnologia MEMS seja promissora, ainda exibe limitaçÔes que limitam a sua aplicabilidade no domĂ­nio da sismologia, especificamente na observação de eventos sĂ­smicos moderados e fortes. Conclui-se tambĂ©m que a instalação de acelerĂłmetros MEMS em conjunto com sismĂłmetros pode trazer benefĂ­cios na observação de actividade sĂ­smica. Espera-se tambĂ©m que futuras geraçÔes de acelerĂłmetros MEMS possam ter uma adoção generalizada na sismologia; ABSTRACT: This thesis exploits advances in information technologies, communications and sensor systems to the field of seismology. It addresses the potential for high-density networks for seismic monitoring aiming to improve the resolution of the recorded seismic activity and, consequently, to improve the understanding of the physical processes that cause earthquakes, as well as to gather more detailed seismic characterisation of studied regions. It argues that microelectromechanical systems (MEMS) technology, used to produce small size accelerometers, has a potential application in seismology. Indeed, MEMS accelerometers have enabled the deployment of high-density seismic networks capable of monitoring seismic activity with high spatial resolution, such as CalTech's Community Seismic Network (CSN) and University of Évora’s SSN-Alentejo, currently in the deployment phase. In this context, this thesis describes the work conducted to design and develop low-cost seismic sensor systems, based on low-cost MEMS accelerometers. This work includes the conceptualisation of the architectural components that were implemented in four prototypes. Moreover, server-side components, necessary to operate and manage the sensor network, as well as to provide visualisation tools for users, are also developed and presented. This work also describes the field deployment and evaluation of selected prototypes, using a high-performance seismic station as the reference sensor for comparison, based on generated signals and two recorded seismic events. It is concluded that the herein conceptualised architecture for the high-dense network and sensor prototypes has been demonstrated to be effective. Moreover, albeit promising, MEMS accelerometers still exhibit performance limitations constraining their application in seismology addressing moderate and strong motion. In addition, MEMS accelerometers characteristics complement seismometers, thus installing MEMS accelerometers with seismometers, may provide additional insights concerning seismic activity and seismology in general. It is also expected that next generation MEMS accelerometers will be capable to compete with traditional seismometers, becoming the de facto technology in seismology

    Can my chip behave like my brain?

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    Many decades ago, Carver Mead established the foundations of neuromorphic systems. Neuromorphic systems are analog circuits that emulate biology. These circuits utilize subthreshold dynamics of CMOS transistors to mimic the behavior of neurons. The objective is to not only simulate the human brain, but also to build useful applications using these bio-inspired circuits for ultra low power speech processing, image processing, and robotics. This can be achieved using reconfigurable hardware, like field programmable analog arrays (FPAAs), which enable configuring different applications on a cross platform system. As digital systems saturate in terms of power efficiency, this alternate approach has the potential to improve computational efficiency by approximately eight orders of magnitude. These systems, which include analog, digital, and neuromorphic elements combine to result in a very powerful reconfigurable processing machine.Ph.D

    Conception d'un réseau de plots configurables multifonctions analogiques et numériques combiné à un réseau de distribution de puissance intégrés à l'échelle de la tranche de silicium

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    RÉSUMÉ De nos jours, les systĂšmes Ă©lectroniques sont en constante croissance en taille et en complexitĂ©. Cette complexitĂ© combinĂ©e Ă  la rĂ©duction du temps de mise en marchĂ© rendant le design de systĂšmes Ă©lectroniques un grand dĂ©fi pour les designers. Une plateforme de prototypage a rĂ©cemment Ă©tĂ© introduite afin de s’attaquer toutes ces contraintes Ă  la fois. Cette plateforme s’appuie sur l’implĂ©mentation d’un circuit configurable Ă  l’échelle d’une tranche de silicium complĂšte de 200mm de diamĂštre. Cette surface est recouverte d’une mer de plots conducteurs configurables appelĂ©s NanoPads. Ces NanoPads sont suffisamment petits pour supporter des billes d’un diamĂštre de 250 ÎŒm et d’un espacement de 500 ÎŒm et sont regroupĂ©s en matrices de 4×4 pour former des Cellules, qui sont Ă  leur tour assemblĂ©es en RĂ©ticules de 32×32. Ces RĂ©ticules sont ensuite photo-rĂ©pĂ©tĂ©s sur toute la surface d’une tranche de silicium et sont interconnectĂ©s entre eux pour former le WaferIC. Cet arrangement particulier de plots conducteurs configurables permet Ă  un usager de dĂ©poser sur la surface active du WaferIC les circuits intĂ©grĂ©s constituant un systĂšme Ă©lectronique, sans tenir en compte l’orientation spatiale de ces derniers, de crĂ©er un schĂ©ma d’interconnexions, de distribution la puissance et de dĂ©buter le prototypage du systĂšme en question. Une version prĂ©liminaire a Ă©tĂ© fabriquĂ©es et testĂ©es avec succĂšs et permet d’alimenter des circuits -intĂ©grĂ©s et de configurer le WaferIC pour les interconnecter. Cette thĂšse par articles prĂ©sente une nouvelle version du WaferIC avec une nouvelle proposition de distribution de la puissance avec une approche de maĂźtres-esclaves qui met en valeur l’utilisation de plusieurs rails d’alimentation afin d’amĂ©liorer le rendement Ă©nergĂ©tique. Il est Ă©galement mis de l’avant un rĂ©seau trĂšs dense de convertisseurs analogique-numĂ©rique (CAN) et numĂ©rique-analogique (CNA) de plus de 300k Ă©lĂ©ments, tolĂ©rant aux dĂ©fectuositĂ©s et aux dĂ©fauts de fabrication. Ce rĂ©seau de CAN-CNA permet d’amĂ©liorer le WaferIC avec la transmission de signaux analogiques, en plus des signaux numĂ©riques. Ce manuscrit comporte trois articles : un publiĂ© chez « Springer Science & Business Media Analog Integrated Circuits and Signal Processing », un publiĂ© chez « IEEE Transactions on Circuits and Systems I : Regular Papers » et finalement un soumis chez « IEEE Transactions on Very Large Scale Integration ».----------ABSTRACT Nowadays, electronic systems are in constant growth, size and complexity; combined with time to market it makes a challenge for electronic system designers. A prototyping platform has been recently introduced and addresses all those constraints at once. This platform is based on an active 200 mm in diameter wafer-scale circuit, which is covered with a set of small configurable and conductive pads called NanoPads. These NanoPads are designed to be small enough to support any integrated-circuit ÎŒball of a 250 ÎŒm diameter and 500 ÎŒm of pitch. They are assembled in a 4×4 matrix, forming a Unit-Cell, which are grouped in a Reticle-Image of 32×32. These Reticle-Images are photo-repeated over the entire surface of a 200 mm in diameter wafer and are interconnected together using interreticle stitching. This active wafer-scale circuit is called a WaferIC. This particular topology and distribution of NanoPads allows an electronic system designer to manually deposit any integrated-circuit (IC) on the active alignment insensitive surface of the WaferIC, to build the netlist linking all the ICs, power-up the systems and start the prototyping of the system. In this manuscript-based thesis, we present an improved version of the WaferIC with a novel approach for the power distribution network with a master-slave topology, which makes the use of embedded dual-power-rail voltage regulators in order to improve the power efficiency and decrease thermal dissipation. We also propose a default-tolerant network of analog to digital (ADC) and digital to analog (DAC) converters of more than 300k. This ADC-DAC network allows the WaferIC to not only support digital ICs but also propagate analog signals from one NanoPad to another. This thesis includes 3 papers : one submission to "Springer Science & Business Media Analog Integrated Circuits and Signal Processing", one submission to "IEEE Transactions on Circuits and Systems I : Regular Papers" and finally one submission to "IEEE Transactions on Very Large-Scale Integration". These papers propose novel architectures of dualrail voltage regulators, configurable analog buffers and configurable voltage references, which can be used as a DAC. A novel approach for a power distribution network and the integration of all the presented architectures is also proposed with the fabrication of a testchip in CMOS 0.18 ÎŒm technology, which is a small-scale version of the WaferIC
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