Self-Test Mechanisms for Automotive Multi-Processor System-on-Chips

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Test and Diagnosis of Integrated Circuits

The ever-increasing growth of the semiconductor market results in an increasing complexity of digital circuits. Smaller, faster, cheaper and low-power consumption are the main challenges in semiconductor industry. The reduction of transistor size and the latest packaging technology (i.e., System-On-a-Chip, System-In-Package, Trough Silicon Via 3D Integrated Circuits) allows the semiconductor industry to satisfy the latest challenges. Although producing such advanced circuits can benefit users, the manufacturing process is becoming finer and denser, making chips more prone to defects.The work presented in the HDR manuscript addresses the challenges of test and diagnosis of integrated circuits. It covers:- Power aware test;- Test of Low Power Devices;- Fault Diagnosis of digital circuits

Reining in the Functional Verification of Complex Processor Designs with Automation, Prioritization, and Approximation

Our quest for faster and efficient computing devices has led us to processor designs with enormous complexity. As a result, functional verification, which is the process of ascertaining the correctness of a processor design, takes up a lion's share of the time and cost spent on making processors. Unfortunately, functional verification is only a best-effort process that cannot completely guarantee the correctness of a design, often resulting in defective products that may have devastating consequences.Functional verification, as practiced today, is unable to cope with the complexity of current and future processor designs. In this dissertation, we identify extensive automation as the essential step towards scalable functional verification of complex processor designs. Moreover, recognizing that a complete guarantee of design correctness is impossible, we argue for systematic prioritization and prudent approximation to realize fast and far-reaching functional verification solutions. We partition the functional verification effort into three major activities: planning and test generation, test execution and bug detection, and bug diagnosis. Employing a perspective we refer to as the automation, prioritization, and approximation (APA) approach, we develop solutions that tackle challenges across these three major activities. In pursuit of efficient planning and test generation for modern systems-on-chips, we develop an automated process for identifying high-priority design aspects for verification. In addition, we enable the creation of compact test programs, which, in our experiments, were up to 11 times smaller than what would otherwise be available at the beginning of the verification effort. To tackle challenges in test execution and bug detection, we develop a group of solutions that enable the deployment of automatic and robust mechanisms for catching design flaws during high-speed functional verification. By trading accuracy for speed, these solutions allow us to unleash functional verification platforms that are over three orders of magnitude faster than traditional platforms, unearthing design flaws that are otherwise impossible to reach. Finally, we address challenges in bug diagnosis through a solution that fully automates the process of pinpointing flawed design components after detecting an error. Our solution, which identifies flawed design units with over 70% accuracy, eliminates weeks of diagnosis effort for every detected error.PHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/137057/1/birukw_1.pd

FPGAs in Industrial Control Applications

The aim of this paper is to review the state-of-the-art of Field Programmable Gate Array (FPGA) technologies and their contribution to industrial control applications. Authors start by addressing various research fields which can exploit the advantages of FPGAs. The features of these devices are then presented, followed by their corresponding design tools. To illustrate the benefits of using FPGAs in the case of complex control applications, a sensorless motor controller has been treated. This controller is based on the Extended Kalman Filter. Its development has been made according to a dedicated design methodology, which is also discussed. The use of FPGAs to implement artificial intelligence-based industrial controllers is then briefly reviewed. The final section presents two short case studies of Neural Network control systems designs targeting FPGAs

Optimized Biosignals Processing Algorithms for New Designs of Human Machine Interfaces on Parallel Ultra-Low Power Architectures

The aim of this dissertation is to explore Human Machine Interfaces (HMIs) in a variety of biomedical scenarios. The research addresses typical challenges in wearable and implantable devices for diagnostic, monitoring, and prosthetic purposes, suggesting a methodology for tailoring such applications to cutting edge embedded architectures. The main challenge is the enhancement of high-level applications, also introducing Machine Learning (ML) algorithms, using parallel programming and specialized hardware to improve the performance. The majority of these algorithms are computationally intensive, posing significant challenges for the deployment on embedded devices, which have several limitations in term of memory size, maximum operative frequency, and battery duration. The proposed solutions take advantage of a Parallel Ultra-Low Power (PULP) architecture, enhancing the elaboration on specific target architectures, heavily optimizing the execution, exploiting software and hardware resources. The thesis starts by describing a methodology that can be considered a guideline to efficiently implement algorithms on embedded architectures. This is followed by several case studies in the biomedical field, starting with the analysis of a Hand Gesture Recognition, based on the Hyperdimensional Computing algorithm, which allows performing a fast on-chip re-training, and a comparison with the state-of-the-art Support Vector Machine (SVM); then a Brain Machine Interface (BCI) to detect the respond of the brain to a visual stimulus follows in the manuscript. Furthermore, a seizure detection application is also presented, exploring different solutions for the dimensionality reduction of the input signals. The last part is dedicated to an exploration of typical modules for the development of optimized ECG-based applications

Standart-konformes Snapshotting für SystemC Virtuelle Plattformen

The steady increase in complexity of high-end embedded systems goes along with an increasingly complex design process. We are currently still in a transition phase from Hardware-Description Language (HDL) based design towards virtual-platform-based design of embedded systems. As design complexity rises faster than developer productivity a gap forms. Restoring productivity while at the same time managing increased design complexity can also be achieved through focussing on the development of new tools and design methodologies. In most application areas, high-level modelling languages such as SystemC are used in early design phases. In modern software development Continuous Integration (CI) is used to automatically test if a submitted piece of code breaks functionality. Application of the CI concept to embedded system design and testing requires fast build and test execution times from the virtual platform framework. For this use case the ability to save a specific state of a virtual platform becomes necessary. The saving and restoring of specific states of a simulation requires the ability to serialize all data structures within the simulation models. Improving the frameworks and establishing better methods will only help to narrow the design gap, if these changes are introduced with the needs of the engineers and developers in mind. Ultimately, it is their productivity that shall be improved. The ability to save the state of a virtual platform enables developers to run longer test campaigns that can even contain randomized test stimuli. If the saved states are modifiable the developers can inject faulty states into the simulation models. This work contributes an extension to the SoCRocket virtual platform framework to enable snapshotting. The snapshotting extension can be considered a reference implementation as the utilization of current SystemC/TLM standards makes it compatible to other frameworkds. Furthermore, integrating the UVM SystemC library into the framework enables test driven development and fast validation of SystemC/TLM models using snapshots. These extensions narrow the design gap by supporting designers, testers and developers to work more efficiently.Die stetige Steigerung der Komplexität eingebetteter Systeme geht einher mit einer ebenso steigenden Komplexität des Entwurfsprozesses. Wir befinden uns momentan in der Übergangsphase vom Entwurf von eingebetteten Systemen basierend auf Hardware-Beschreibungssprachen hin zum Entwurf ebendieser basierend auf virtuellen Plattformen. Da die Entwurfskomplexität rasanter steigt als die Produktivität der Entwickler, entsteht eine Kluft. Die Produktivität wiederherzustellen und gleichzeitig die gesteigerte Entwurfskomplexität zu bewältigen, kann auch erreicht werden, indem der Fokus auf die Entwicklung neuer Werkzeuge und Entwurfsmethoden gelegt wird. In den meisten Anwendungsgebieten werden Modellierungssprachen auf hoher Ebene, wie zum Beispiel SystemC, in den frühen Entwurfsphasen benutzt. In der modernen Software-Entwicklung wird Continuous Integration (CI) benutzt um automatisiert zu überprüfen, ob eine eingespielte Änderung am Quelltext bestehende Funktionalitäten beeinträchtigt. Die Anwendung des CI-Konzepts auf den Entwurf und das Testen von eingebetteten Systemen fordert schnelle Bau- und Test-Ausführungszeiten von dem genutzten Framework für virtuelle Plattformen. Für diesen Anwendungsfall wird auch die Fähigkeit, einen bestimmten Zustand der virtuellen Plattform zu speichern, erforderlich. Das Speichern und Wiederherstellen der Zustände einer Simulation erfordert die Serialisierung aller Datenstrukturen, die sich in den Simulationsmodellen befinden. Das Verbessern von Frameworks und Etablieren besserer Methodiken hilft nur die Entwurfs-Kluft zu verringern, wenn diese Änderungen mit Berücksichtigung der Bedürfnisse der Entwickler und Ingenieure eingeführt werden. Letztendlich ist es ihre Produktivität, die gesteigert werden soll. Die Fähigkeit den Zustand einer virtuellen Plattform zu speichern, ermöglicht es den Entwicklern, längere Testkampagnen laufen zu lassen, die auch zufällig erzeugte Teststimuli beinhalten können oder, falls die gespeicherten Zustände modifizierbar sind, fehlerbehaftete Zustände in die Simulationsmodelle zu injizieren. Mein mit dieser Arbeit geleisteter Beitrag beinhaltet die Erweiterung des SoCRocket Frameworks um Checkpointing Funktionalität im Sinne einer Referenzimplementierung. Weiterhin ermöglicht die Integration der UVM SystemC Bibliothek in das Framework die Umsetzung der testgetriebenen Entwicklung und schnelle Validierung von SystemC/TLM Modellen mit Hilfe von Snapshots

Intrinsically Evolvable Artificial Neural Networks

Dedicated hardware implementations of neural networks promise to provide faster, lower power operation when compared to software implementations executing on processors. Unfortunately, most custom hardware implementations do not support intrinsic training of these networks on-chip. The training is typically done using offline software simulations and the obtained network is synthesized and targeted to the hardware offline. The FPGA design presented here facilitates on-chip intrinsic training of artificial neural networks. Block-based neural networks (BbNN), the type of artificial neural networks implemented here, are grid-based networks neuron blocks. These networks are trained using genetic algorithms to simultaneously optimize the network structure and the internal synaptic parameters. The design supports online structure and parameter updates, and is an intrinsically evolvable BbNN platform supporting functional-level hardware evolution. Functional-level evolvable hardware (EHW) uses evolutionary algorithms to evolve interconnections and internal parameters of functional modules in reconfigurable computing systems such as FPGAs. Functional modules can be any hardware modules such as multipliers, adders, and trigonometric functions. In the implementation presented, the functional module is a neuron block. The designed platform is suitable for applications in dynamic environments, and can be adapted and retrained online. The online training capability has been demonstrated using a case study. A performance characterization model for RC implementations of BbNNs has also been presented

Development and certification of mixed-criticality embedded systems based on probabilistic timing analysis

An increasing variety of emerging systems relentlessly replaces or augments the functionality of mechanical subsystems with embedded electronics. For quantity, complexity, and use, the safety of such subsystems is an increasingly important matter. Accordingly, those systems are subject to safety certification to demonstrate system's safety by rigorous development processes and hardware/software constraints. The massive augment in embedded processors' complexity renders the arduous certification task significantly harder to achieve. The focus of this thesis is to address the certification challenges in multicore architectures: despite their potential to integrate several applications on a single platform, their inherent complexity imperils their timing predictability and certification. Recently, the Measurement-Based Probabilistic Timing Analysis (MBPTA) technique emerged as an alternative to deal with hardware/software complexity. The innovation that MBPTA brings about is, however, a major step from current certification procedures and standards. The particular contributions of this Thesis include: (i) the definition of certification arguments for mixed-criticality integration upon multicore processors. In particular we propose a set of safety mechanisms and procedures as required to comply with functional safety standards. For timing predictability, (ii) we present a quantitative approach to assess the likelihood of execution-time exceedance events with respect to the risk reduction requirements on safety standards. To this end, we build upon the MBPTA approach and we present the design of a safety-related source of randomization (SoR), that plays a key role in the platform-level randomization needed by MBPTA. And (iii) we evaluate current certification guidance with respect to emerging high performance design trends like caches. Overall, this Thesis pushes the certification limits in the use of multicore and MBPTA technology in Critical Real-Time Embedded Systems (CRTES) and paves the way towards their adoption in industry.Una creciente variedad de sistemas emergentes reemplazan o aumentan la funcionalidad de subsistemas mecánicos con componentes electrónicos embebidos. El aumento en la cantidad y complejidad de dichos subsistemas electrónicos así como su cometido, hacen de su seguridad una cuestión de creciente importancia. Tanto es así que la comercialización de estos sistemas críticos está sujeta a rigurosos procesos de certificación donde se garantiza la seguridad del sistema mediante estrictas restricciones en el proceso de desarrollo y diseño de su hardware y software. Esta tesis trata de abordar los nuevos retos y dificultades dadas por la introducción de procesadores multi-núcleo en dichos sistemas críticos: aunque su mayor rendimiento despierta el interés de la industria para integrar múltiples aplicaciones en una sola plataforma, suponen una mayor complejidad. Su arquitectura desafía su análisis temporal mediante los métodos tradicionales y, asimismo, su certificación es cada vez más compleja y costosa. Con el fin de lidiar con estas limitaciones, recientemente se ha desarrollado una novedosa técnica de análisis temporal probabilístico basado en medidas (MBPTA). La innovación de esta técnica, sin embargo, supone un gran cambio cultural respecto a los estándares y procedimientos tradicionales de certificación. En esta línea, las contribuciones de esta tesis están agrupadas en tres ejes principales: (i) definición de argumentos de seguridad para la certificación de aplicaciones de criticidad-mixta sobre plataformas multi-núcleo. Se definen, en particular, mecanismos de seguridad, técnicas de diagnóstico y reacción de faltas acorde con el estándar IEC 61508 sobre una arquitectura multi-núcleo de referencia. Respecto al análisis temporal, (ii) presentamos la cuantificación de la probabilidad de exceder un límite temporal y su relación con los requisitos de reducción de riesgos derivados de los estándares de seguridad funcional. Con este fin, nos basamos en la técnica MBPTA y presentamos el diseño de una fuente de números aleatorios segura; un componente clave para conseguir las propiedades aleatorias requeridas por MBPTA a nivel de plataforma. Por último, (iii) extrapolamos las guías actuales para la certificación de arquitecturas multi-núcleo a una solución comercial de 8 núcleos y las evaluamos con respecto a las tendencias emergentes de diseño de alto rendimiento (caches). Con estas contribuciones, esta tesis trata de abordar los retos que el uso de procesadores multi-núcleo y MBPTA implican en el proceso de certificación de sistemas críticos de tiempo real y facilita, de esta forma, su adopción por la industria.Postprint (published version

Axon regeneration and circuit reorganization after complete spinal cord injury

First human trials involving neuroprosthetic rehabilitation demonstrated recently that significant functional benefits can be achieved with lumbosacral neuromodulation and reorganized spared projections. However, complete spinal cord injuries (SCI) wholly isolate infralesional circuits from any supraspinal control, leading to irreversible motor deficits that neuroprosthetics still fails to address. As axons fail to regrow across the lesion site, neuroregenerative research after SCI has been dogmatically focusing attention on minimizing the environmental inhibitions to axon regeneration. In the present work, we demonstrate that spontaneous axon regeneration failure can be reversed, and that propriospinal axons are able to grow across complete non-neural lesion cores when the required facilitators are provided. We identified three mechanisms needed for propriospinal regrowth : i) enhancing neuronal intrinsic growth capacities using viral technologies, ii) remodeling the lesion core with growth factors, in order to densify permissive substrates, and iii) guiding axons chemically across the SCI site. Propriospinal neurons - that coordinate different spinal segments in healthy conditions - are known to support recovery of locomotion in incomplete models of spinal cord injury. However, restoring a robust descending bridge of propriospinal axons does not by itself promote any functional benefit. We hypothesize that a lack of somatosensory feedback to the motor cortex (M1), together with insufficient descending motor control, may prevent coherent exchange of information between lumbosacral and cortical motor centers. Therefore, we explored the neuroregenerative potential of reticulospinal axons - which are projected from the brainstem to the spinal cord - as a second relay for the descending motor cortical command. Together with axon guidance and lesion remodeling, our viral manipulation of intrinsic growth programs induced limited yet significant reticulospinal regeneration into the lesion core. In order to enhance this reticulospinal regrowth, we explored activity-dependent mechanisms of neurite growth control. As we observed that activity does not recruit growth programs after SCI, we revealed a possible divergence between the mechanisms that underly reticulospinal axon regrowth and neurite sprouting. In the mean time, we are developing a somatosensory interface that aims at restoring sensory feedback to the motor cortex after complete SCI. Based on hindlimb electromyographic activity, we linked locomotion to optogenetic neuromodulation of the motor thalamus, and were able to evoke responses in M1 by selectively activating thalamocortical projections, both before and after complete spinal lesion. Such technology enables a direct recruitment of thalamic nuclei that gate motor learning and motor planning at a cortical level. Coming experiments will test wether a strategy combining propriospinal regeneration with locomotion-dependent thalamocortical modulation is sufficient to restore voluntary stepping after complete SCI