A Novel Reconfiguration Scheme in Quantum-Dot Cellular Automata for Energy Efficient Nanocomputing

Quantum-Dot Cellular Automata (QCA) is currently being investigated as an alternative to CMOS technology. There has been extensive study on a wide range of circuits from simple logical circuits such as adders to complex circuits such as 4-bit processors. At the same time, little if any work has been done in considering the possibility of reconfiguration to reduce power in QCA devices. This work presents one of the first such efforts when considering reconfigurable QCA architectures which are expected to be both robust and power efficient. We present a new reconfiguration scheme which is highly robust and is expected to dissipate less power with respect to conventional designs. An adder design based on the reconfiguration scheme will be presented in this thesis, with a detailed power analysis and comparison with existing designs. In order to overcome the problems of routing which comes with reconfigurability, a new wire crossing mechanism is also presented as part of this thesis

Advanced Information Processing Methods and Their Applications

This Special Issue has collected and presented breakthrough research on information processing methods and their applications. Particular attention is paid to the study of the mathematical foundations of information processing methods, quantum computing, artificial intelligence, digital image processing, and the use of information technologies in medicine

Crosstalk computing: circuit techniques, implementation and potential applications

Title from PDF of title [age viewed January 32, 2022Dissertation advisor: Mostafizur RahmanVitaIncludes bibliographical references (page 117-136)Thesis (Ph.D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2020This work presents a radically new computing concept for digital Integrated Circuits (ICs), called Crosstalk Computing. The conventional CMOS scaling trend is facing device scaling limitations and interconnect bottleneck. The other primary concern of miniaturization of ICs is the signal-integrity issue due to Crosstalk, which is the unwanted interference of signals between neighboring metal lines. The Crosstalk is becoming inexorable with advancing technology nodes. Traditional computing circuits always tries to reduce this Crosstalk by applying various circuit and layout techniques. In contrast, this research develops novel circuit techniques that can leverage this detrimental effect and convert it astutely to a useful feature. The Crosstalk is engineered into a logic computation principle by leveraging deterministic signal interference for innovative circuit implementation. This research work presents a comprehensive circuit framework for Crosstalk Computing and derives all the key circuit elements that can enable this computing model. Along with regular digital logic circuits, it also presents a novel Polymorphic circuit approach unique to Crosstalk Computing. In Polymorphic circuits, the functionality of a circuit can be altered using a control variable. Owing to the multi-functional embodiment in polymorphic-circuits, they find many useful applications such as reconfigurable system design, resource sharing, hardware security, and fault-tolerant circuit design, etc. This dissertation shows a comprehensive list of polymorphic logic gate implementations, which were not reported previously in any other work. It also performs a comparison study between Crosstalk polymorphic circuits and existing polymorphic approaches, which are either inefficient due to custom non-linear circuit styles or propose exotic devices. The ability to design a wide range of polymorphic logic circuits (basic and complex logics) compact in design and minimal in transistor count is unique to Crosstalk Computing, which leads to benefits in the circuit density, power, and performance. The circuit simulation and characterization results show a 6x improvement in transistor count, 2x improvement in switching energy, and 1.5x improvement in performance compared to counterpart implementation in CMOS circuit style. Nevertheless, the Crosstalk circuits also face issues while cascading the circuits; this research analyzes all the problems and develops auxiliary circuit techniques to fix the problems. Moreover, it shows a module-level cascaded polymorphic circuit example, which also employs the auxiliary circuit techniques developed. For the very first time, it implements a proof-of-concept prototype Chip for Crosstalk Computing at TSMC 65nm technology and demonstrates experimental evidence for runtime reconfiguration of the polymorphic circuit. The dissertation also explores the application potentials for Crosstalk Computing circuits. Finally, the future work section discusses the Electronic Design Automation (EDA) challenges and proposes an appropriate design flow; besides, it also discusses ideas for the efficient implementation of Crosstalk Computing structures. Thus, further research and development to realize efficient Crosstalk Computing structures can leverage the comprehensive circuit framework developed in this research and offer transformative benefits for the semiconductor industry.Introduction and Motivation -- More Moore and Relevant Beyond CMOS Research Directions -- Crosstalk Computing -- Crosstalk Circuits Based on Perception Model -- Crosstalk Circuit Types -- Cascading Circuit Issues and Sollutions -- Existing Polymorphic Circuit Approaches -- Crosstalk Polymorphic Circuits -- Comparison and Benchmarking of Crosstalk Gates -- Practical Realization of Crosstalk Gates -- Poential Applications -- Conclusion and Future Wor

Challenges and solutions for large-scale integration of emerging technologies

Title from PDF of title page viewed June 15, 2021Dissertation advisor: Mostafizur RahmanVitaIncludes bibliographical references (pages 67-88)Thesis (Ph.D.)--School of Computing and Engineering and Department of Physics and Astronomy. University of Missouri--Kansas City, 2021The semiconductor revolution so far has been primarily driven by the ability to shrink devices and interconnects proportionally (Moore's law) while achieving incremental benefits. In sub-10nm nodes, device scaling reaches its fundamental limits, and the interconnect bottleneck is dominating power and performance. As the traditional way of CMOS scaling comes to an end, it is essential to find an alternative to continue this progress. However, an alternative technology for general-purpose computing remains elusive; currently pursued research directions face adoption challenges in all aspects from materials, devices to architecture, thermal management, integration, and manufacturing. Crosstalk Computing, a novel emerging computing technique, addresses some of the challenges and proposes a new paradigm for circuit design, scaling, and security. However, like other emerging technologies, Crosstalk Computing also faces challenges like designing large-scale circuits using existing CAD tools, scalability, evaluation and benchmarking of large-scale designs, experimentation through commercial foundry processes to compete/co-exist with CMOS for digital logic implementations. This dissertation addresses these issues by providing a methodology for circuit synthesis customizing the existing EDA tool flow, evaluating and benchmarking against state-of-the-art CMOS for large-scale circuits designed at 7nm from MCNC benchmark suits. This research also presents a study on Crosstalk technology's scalability aspects and shows how the circuits' properties evolve from 180nm to 7nm technology nodes. Some significant results are for primitive Crosstalk gate, designed in 180nm, 65nm, 32nm, and 7nm technology nodes, the average reduction in power is 42.5%, and an average improvement in performance is 34.5% comparing to CMOS for all mentioned nodes. For benchmarking large-scale circuits designed at 7nm, there are 48%, 57%, and 10% improvements against CMOS designs in terms of density, power, and performance, respectively. An experimental demonstration of a proof-of-concept prototype chip for Crosstalk Computing at TSMC 65nm technology is also presented in this dissertation, showing the Crosstalk gates can be realized using the existing manufacturing process. Additionally, the dissertation also provides a fine-grained thermal management approach for emerging technologies like transistor-level 3-D integration (Monolithic 3-D, Skybridge, SN3D), which holds the most promise beyond 2-D CMOS technology. However, such 3-D architectures within small form factors increase hotspots and demand careful consideration of thermal management at all integration levels. This research proposes a new direction for fine-grained thermal management approach for transistor-level 3-D integrated circuits through the insertion of architected heat extraction features that can be part of circuit design, and an integrated methodology for thermal evaluation of 3-D circuits combining different simulation outcomes at advanced nodes, which can be integrated to traditional CAD flow. The results show that the proposed heat extraction features effectively reduce the temperature from a heated location. Thus, the dissertation provides a new perspective to overcome the challenges faced by emerging technologies where the device, circuit, connectivity, heat management, and manufacturing are addressed in an integrated manner.Introduction and motivation -- Cross talk computing overview -- Logic simplification approach for Crosstalk circuit design -- Crostalk computing scalability study: from 180 nm to 7 nm -- Designing large*scale circuits in Crosstalk at 7 nm -- Comparison and benchmarking -- Experimental demonstration of Crosstalk computing -- Thermal management challenges and mitigation techniques for transistor-level- 3D integratio

Performance analysis of fault-tolerant nanoelectronic memories

Performance growth in microelectronics, as described by Moore’s law, is steadily approaching its limits. Nanoscale technologies are increasingly being explored as a practical solution to sustaining and possibly surpassing current performance trends of microelectronics. This work presents an in-depth analysis of the impact on performance, of incorporating reliability schemes into the architecture of a crossbar molecular switch nanomemory and demultiplexer. Nanoelectronics are currently in their early stages, and so fabrication and design methodologies are still in the process of being studied and developed. The building blocks of nanotechnology are fabricated using bottom-up processes, which leave them highly susceptible to defects. Hence, it is very important that defect and fault-tolerant schemes be incorporated into the design of nanotechnology related devices. In this dissertation, we focus on the study of a novel and promising class of computer chip memories called crossbar molecular switch memories and their demultiplexer addressing units. A major part of this work was the design of a defect and fault tolerance scheme we called the Multi-Switch Junction (MSJ) scheme. The MSJ scheme takes advantage of the regular array geometry of the crossbar nanomemory to create multiple switches in the fabric of the crossbar nanomemory for the storage of a single bit. Implementing defect and fault tolerant schemes come at a performance cost to the crossbar nanomemory; the challenge becomes achieving a balance between device reliability and performance. We have studied the reliability induced performance penalties as they relate to the time (delay) it takes to access a bit, and the amount of power dissipated by the process. Also, MSJ was compared to the banking and error correction coding fault tolerant schemes. Studies were also conducted to ascertain the potential benefits of integrating our MSJ scheme with the banking scheme. Trade-off analysis between access time delay, power dissipation and reliability is outlined and presented in this work. Results show the MSJ scheme increases the reliability of the crossbar nanomemory and demultiplexer. Simulation results also indicated that MSJ works very well for smaller nanomemory array sizes, with reliabilities of 100% for molecular switch failure rates in the 10% or less range

Double-gate single electron transistor : modeling, design & evaluation of logic architectures

Dans les années à venir, l'industrie de la microélectronique doit développer de nouvelles filières technologiques qui pourront devenir des successeurs ou des compléments de la technologie CMOS ultime. Parmi ces technologies émergentes relevant du domaine « Beyond CMOS », ce travail de recherche porte sur les transistors mono-électroniques (SET) dont le fonctionnement est basé sur la quantification de la charge électrique, le transport quantique et la répulsion Coulombienne. Les SETs doivent être étudiés à trois niveaux : composants, circuits et système. Ces nouveaux composants, utilisent à leur profit le phénomène dit de blocage de Coulomb permettant le transit des électrons de manière séquentielle, afin de contrôler très précisément le courant véhiculé. En effet, l'émergence du caractère granulaire de la charge électrique dans le transport des électrons par effet tunnel, permet d'envisager la réalisation de remplaçants potentiels des transistors ou de cellules mémoire à haute densité d'intégration, basse consommation. L'objectif principal de ce travail de thèse est d'explorer et d'évaluer le potentiel des transistors mono-électroniques double-grille métalliques (DG-SETs) pour les circuits logiques numériques. De ce fait, les travaux de recherches proposés sont divisés en trois parties : i) le développement des outils de simulation et tout particulièrement un modèle analytique de DG-SET ; ii) la conception de circuits numériques à base de DG-SETs dans une approche « cellules standards » ; et iii) l'exploration d'architectures logiques versatiles à base de DG-SETs en exploitant la double-grille du dispositif. Un modèle analytique pour les DG-SETs métalliques fonctionnant à température ambiante et au-delà est présenté. Ce modèle est basé sur des paramètres physiques et géométriques et implémenté en langage Verilog-A. Il est utilisable pour la conception de circuits analogiques ou numériques hybrides SET-CMOS. A l'aide de cet outil, nous avons conçu, simulé et évalué les performances de circuits logiques à base de DG-SETs afin de mettre en avant leur utilisation dans les futurs circuits ULSI. Une bibliothèque de cellules logiques, à base de DG-SETs, fonctionnant à haute température est présentée. Des résultats remarquables ont été atteints notamment en termes de consommation d'énergie. De plus, des architectures logiques telles que les blocs élémentaires pour le calcul (ALU, SRAM, etc.) ont été conçues entièrement à base de DG-SETs. La flexibilité offerte par la seconde grille du DG-SET a permis de concevoir une nouvelle famille de circuits logiques flexibles à base de portes de transmission. Une réduction du nombre de transistors par fonction et de consommation a été atteinte. Enfin, des analyses Monte-Carlo sont abordées afin de déterminer la robustesse des circuits logiques conçus à l'égard des dispersions technologiques

Heterogeneous Reconfigurable Fabrics for In-circuit Training and Evaluation of Neuromorphic Architectures

A heterogeneous device technology reconfigurable logic fabric is proposed which leverages the cooperating advantages of distinct magnetic random access memory (MRAM)-based look-up tables (LUTs) to realize sequential logic circuits, along with conventional SRAM-based LUTs to realize combinational logic paths. The resulting Hybrid Spin/Charge FPGA (HSC-FPGA) using magnetic tunnel junction (MTJ) devices within this topology demonstrates commensurate reductions in area and power consumption over fabrics having LUTs constructed with either individual technology alone. Herein, a hierarchical top-down design approach is used to develop the HSCFPGA starting from the configurable logic block (CLB) and slice structures down to LUT circuits and the corresponding device fabrication paradigms. This facilitates a novel architectural approach to reduce leakage energy, minimize communication occurrence and energy cost by eliminating unnecessary data transfer, and support auto-tuning for resilience. Furthermore, HSC-FPGA enables new advantages of technology co-design which trades off alternative mappings between emerging devices and transistors at runtime by allowing dynamic remapping to adaptively leverage the intrinsic computing features of each device technology. HSC-FPGA offers a platform for fine-grained Logic-In-Memory architectures and runtime adaptive hardware. An orthogonal dimension of fabric heterogeneity is also non-determinism enabled by either low-voltage CMOS or probabilistic emerging devices. It can be realized using probabilistic devices within a reconfigurable network to blend deterministic and probabilistic computational models. Herein, consider the probabilistic spin logic p-bit device as a fabric element comprising a crossbar-structured weighted array. The Programmability of the resistive network interconnecting p-bit devices can be achieved by modifying the resistive states of the array\u27s weighted connections. Thus, the programmable weighted array forms a CLB-scale macro co-processing element with bitstream programmability. This allows field programmability for a wide range of classification problems and recognition tasks to allow fluid mappings of probabilistic and deterministic computing approaches. In particular, a Deep Belief Network (DBN) is implemented in the field using recurrent layers of co-processing elements to form an n x m1 x m2 x ::: x mi weighted array as a configurable hardware circuit with an n-input layer followed by i ≥ 1 hidden layers. As neuromorphic architectures using post-CMOS devices increase in capability and network size, the utility and benefits of reconfigurable fabrics of neuromorphic modules can be anticipated to continue to accelerate

Comparative Analysis of Full Adder Custom Design Circuit using Two Regular Structures in Quantum-Dot Cellular Automata (QCA)

Regular structures in Quantum-dot Cellular Automata (QCA) allow for ease of design and uniform clocking structure. The paper presents a comparative analysis of QCA realization using regular structures: Shannon-Lattices and Programmable Logic Arrays (PLAs). A software tool was developed that generates complete QCA-Shannon-Lattice and QCA-PLA Layouts for Boolean functions based on an input characterized macro-cell library. The correctness of equations were verified by performing simulations of the generated layouts. It is shown that the new regular lattices outperform PLAs and are closer to full custom design on Full Adders

Polarity Control at Runtime:from Circuit Concept to Device Fabrication

Semiconductor device research for digital circuit design is currently facing increasing challenges to enhance miniaturization and performance. A huge economic push and the interest in novel applications are stimulating the development of new pathways to overcome physical limitations affecting conventional CMOS technology. Here, we propose a novel Schottky barrier device concept based on electrostatic polarity control. Specifically, this device can behave as p- or n-type by simply changing an electric input bias. This device combines More-than-Moore and Beyond CMOS elements to create an efficient technology with a viable path to Very Large Scale Integration (VLSI). This thesis proposes a device/circuit/architecture co-optimization methodology, where aspects of device technology to logic circuit and system design are considered. At device level, a full CMOS compatible fabrication process is presented. In particular, devices are demonstrated using vertically stacked, top-down fabricated silicon nanowires with gate-all-around electrode geometry. Source and drain contacts are implemented using nickel silicide to provide quasi-symmetric conduction of either electrons or holes, depending on the mode of operation. Electrical measurements confirm excellent performance, showing Ion/Ioff > 10^7 and subthreshold slopes approaching the thermal limit, SS ~ 60mV/dec (~ 63mV/dec) for n(p)-type operation in the same physical device. Moreover, the shown devices behave as p-type for a polarization bias (polarity gate voltage, Vpg) of 0V, and n-type for a Vpg = 1V, confirming their compatibility with multi-level static logic circuit design. At logic gate level, two- and four-transistor logic gates are fabricated and tested. In particular, the first fully functional, two-transistor XOR logic gate is demonstrated through electrical characterization, confirming that polarity control can enable more compact logic gate design with respect to conventional CMOS. Furthermore, we show for the first time fabricated four- transistors logic gates that can be reconfigured as NAND or XOR only depending on their external connectivity. In this case, logic gates with full swing output range are experimentally demonstrated. Finally, single device and mixed-mode TCAD simulation results show that lower Vth and more optimized polarization ranges can be expected in scaled devices implementing strain or high-k technologies. At circuit and system level, a full semi-custom logic circuit design tool flow was defined and configured. Using this flow, novel logic libraries based on standard cells or regular gate fabrics were compared with standard CMOS. In this respect, results were shown in comparison to CMOS, including a 40% normalized area-delay product reduction for the analyzed standard cell libraries, and improvements of over 2× in terms of normalized delay for regular Controlled Polarity (CP)-based cells in the context of Structured ASICs. These results, in turn, confirm the interest in further developing and optimizing CP devices, as promising candidates for future digital circuit technology

Understanding Quantum Technologies 2022

Understanding Quantum Technologies 2022 is a creative-commons ebook that provides a unique 360 degrees overview of quantum technologies from science and technology to geopolitical and societal issues. It covers quantum physics history, quantum physics 101, gate-based quantum computing, quantum computing engineering (including quantum error corrections and quantum computing energetics), quantum computing hardware (all qubit types, including quantum annealing and quantum simulation paradigms, history, science, research, implementation and vendors), quantum enabling technologies (cryogenics, control electronics, photonics, components fabs, raw materials), quantum computing algorithms, software development tools and use cases, unconventional computing (potential alternatives to quantum and classical computing), quantum telecommunications and cryptography, quantum sensing, quantum technologies around the world, quantum technologies societal impact and even quantum fake sciences. The main audience are computer science engineers, developers and IT specialists as well as quantum scientists and students who want to acquire a global view of how quantum technologies work, and particularly quantum computing. This version is an extensive update to the 2021 edition published in October 2021.Comment: 1132 pages, 920 figures, Letter forma