Tensor Computation: A New Framework for High-Dimensional Problems in EDA

Many critical EDA problems suffer from the curse of dimensionality, i.e. the very fast-scaling computational burden produced by large number of parameters and/or unknown variables. This phenomenon may be caused by multiple spatial or temporal factors (e.g. 3-D field solvers discretizations and multi-rate circuit simulation), nonlinearity of devices and circuits, large number of design or optimization parameters (e.g. full-chip routing/placement and circuit sizing), or extensive process variations (e.g. variability/reliability analysis and design for manufacturability). The computational challenges generated by such high dimensional problems are generally hard to handle efficiently with traditional EDA core algorithms that are based on matrix and vector computation. This paper presents "tensor computation" as an alternative general framework for the development of efficient EDA algorithms and tools. A tensor is a high-dimensional generalization of a matrix and a vector, and is a natural choice for both storing and solving efficiently high-dimensional EDA problems. This paper gives a basic tutorial on tensors, demonstrates some recent examples of EDA applications (e.g., nonlinear circuit modeling and high-dimensional uncertainty quantification), and suggests further open EDA problems where the use of tensor computation could be of advantage.Comment: 14 figures. Accepted by IEEE Trans. CAD of Integrated Circuits and System

Master of Science

thesisThis document describes an improved method of formal verification of complex analog/mixed-signal (AMS) circuits. Currently, in our LEMA tool, verification properties are encoded using labeled Petri net (LPN). These LPNs are generated manually, a tedious process that requires the user to have considerable familiarity with the tool. To eliminate this time-consuming process, our LEMA tool is extended to include a translator that converts properties written in a property specification language to LPNs. New methods are also implemented to separate the transient period from the stable output period, thus improving the generated model. Also, the current methodology generates the circuit models for the input values used during the simulation of the circuit. So, models generated for other control input values are not accurate. In this case, accuracy of the generated models is improved by using a linear abstraction method like interpolation

Variable domain transformation for linear PAC analysis of mixed-signal systems

This paper describes a method to perform linear AC analysis on mixed-signal systems which appear strongly nonlinear in the voltage domain but are linear in other variable domains. Common circuits like phase/delay-locked loops and duty-cycle correctors fall into this category, since they are designed to be linear with respect to phases, delays, and duty-cycles of the input and output clocks, respectively. The method uses variable domain translators to change the variables to which the AC perturbation is applied and from which the AC response is measured. By utilizing the efficient periodic AC (PAC) analysis available in commercial RF simulators, the circuit’s linear transfer function in the desired variable domain can be characterized without relying on extensive transient simulations. Furthermore, the variable domain translators enable the circuits to be macromodeled as weakly-nonlinear systems in the chosen domain and then converted to voltage-domain models, instead of being modeled as strongly-nonlinear systems directly

Analog and Mixed Signal Verification using Satisfiability Solver on Discretized Models

With increasing demand of performance constraints and the ever reducing size of the IC chips, analog and mixed-signal designs have become indispensable and increasingly complex in modern CMOS technologies. This has resulted in the rise of stochastic behavior in circuits, making it important to detect all the corner cases and verify the correct functionality of the design under all circumstances during the earlier stages of the design process. It can be achieved by functional or formal verification methods, which are still widely unexplored for Analog and Mixed-Signal (AMS) designs. Design Verification is a process to validate the performance of the system in accordance with desired specifications. Functional verification relies on simulating different combinations of inputs for maximum state space coverage. With the exponential increase in the complexity of circuits, traditional functional verification techniques are getting more and more inadequate in terms of exhaustiveness of the solution. Formal verification attempts to provide a mathematical proof for the correctness of the design regardless of the circumstances. Thus, it is possible to get 100% coverage using formal verification. However, it requires advanced mathematics knowledge and thus is not feasible for all applications. In this thesis, we present a technique for analog and mixed-signal verification targeting DC verification using Berkeley Short-channel Igfet Models (BSIM) for approximation. The verification problem is first defined using the state space equations for the given circuit and applying Satisfiability Modulo Theories (SMT) solver to determine a region that encloses complete DC equilibrium of the circuit. The technique is applied to an example circuit and the results are analyzed in turns of runtime effectiveness

Formale Verifikationsmethodiken für nichtlineare analoge Schaltungen

The objective of this thesis is to develop new methodologies for formal verification of nonlinear analog circuits. Therefore, new approaches to discrete modeling of analog circuits, specification of analog circuit properties and formal verification algorithms are introduced. Formal approaches to verification of analog circuits are not yet introduced into industrial design flows and still subject to research. Formal verification proves specification conformance for all possible input conditions and all possible internal states of a circuit. Automatically proving that a model of the circuit satisfies a declarative machine-readable property specification is referred to as model checking. Equivalence checking proves the equivalence of two circuit implementations. Starting from the state of the art in modeling analog circuits for simulation-based verification, discrete modeling of analog circuits for state space-based formal verification methodologies is motivated in this thesis. In order to improve the discrete modeling of analog circuits, a new trajectory-directed partitioning algorithm was developed in the scope of this thesis. This new approach determines the partitioning of the state space parallel or orthogonal to the trajectories of the state space dynamics. Therewith, a high accuracy of the successor relation is achieved in combination with a lower number of states necessary for a discrete model of equal accuracy compared to the state-of-the-art hyperbox-approach. The mapping of the partitioning to a discrete analog transition structure (DATS) enables the application of formal verification algorithms. By analyzing digital specification concepts and the existing approaches to analog property specification, the requirements for a new specification language for analog properties have been discussed in this thesis. On the one hand, it shall meet the requirements for formal specification of verification approaches applied to DATS models. On the other hand, the language syntax shall be oriented on natural language phrases. By synthesis of these requirements, the analog specification language (ASL) was developed in the scope of this thesis. The verification algorithms for model checking, that were developed in combination with ASL for application to DATS models generated with the new trajectory-directed approach, offer a significant enhancement compared to the state of the art. In order to prepare a transition of signal-based to state space-based verification methodologies, an approach to transfer transient simulation results from non-formal test bench simulation flows into a partial state space representation in form of a DATS has been developed in the scope of this thesis. As has been demonstrated by examples, the same ASL specification that was developed for formal model checking on complete discrete models could be evaluated without modifications on transient simulation waveforms. An approach to counterexample generation for the formal ASL model checking methodology offers to generate transition sequences from a defined starting state to a specification-violating state for inspection in transient simulation environments. Based on this counterexample generation, a new formal verification methodology using complete state space-covering input stimuli was developed. By conducting a transient simulation with these complete state space-covering input stimuli, the circuit adopts every state and transition that were visited during stimulus generation. An alternative formal verification methodology is given by retransferring the transient simulation responses to a DATS model and by applying the ASL verification algorithms in combination with an ASL property specification. Moreover, the complete state space-covering input stimuli can be applied to develop a formal equivalence checking methodology. Therewith, the equivalence of two implementations can be proven for every inner state of both systems by comparing the transient simulation responses to the complete-coverage stimuli of both circuits. In order to visually inspect the results of the newly introduced verification methodologies, an approach to dynamic state space visualization using multi-parallel particle simulation was developed. Due to the particles being randomly distributed over the complete state space and moving corresponding to the state space dynamics, another perspective to the system's behavior is provided that covers the state space and hence offers formal results. The prototypic implementations of the formal verification methodologies developed in the scope of this thesis have been applied to several example circuits. The acquired results for the new approaches to discrete modeling, specification and verification algorithms all demonstrate the capability of the new verification methodologies to be applied to complex circuit blocks and their properties.Gegenstand dieser Dissertation ist die Entwicklung neuer Methodiken zur formalen Verifikation nichtlinearer analoger elektronischer Schaltungen. Dazu werden im Rahmen dieser Arbeit entstandene neue Ansätze in den Bereichen verifikationsgerechte diskrete Modellierung analoger Schaltungen, Spezifikation analoger Schaltungseigenschaften und formale Verifikationsalgorithmen vorgestellt. Ausgehend vom Stand der Technik der Modellierung analoger Schaltungen für die simulationsbasierte Verifikation wird im Rahmen dieser Arbeit die diskrete Modellierung analoger Schaltungen für zustandsraumbasierte formale Verifikationsverfahren betrachtet. Dazu wurde ein neuer Ansatz zur diskreten Modellierung entwickelt, der die Aufteilungsstruktur anhand der Trajektorien der Vektorfelddynamik bestimmt. So wird eine hohe Genauigkeit der Nachfolgerrelation ermöglicht, woraus eine niedrigere Zahl an Zuständen für ein diskretes Modell gleicher Genauigkeit im Vergleich mit dem bisherigen Stand der Technik folgt. Die Abbildung der Trajektorien-gesteuerten Partitionierung auf eine diskrete analoge Transitionsstruktur (DATS) erlaubt die Anwendung von formalen Verifikationsalgorithmen. Die formale Spezifikation von Eigenschaften in ersten Ansätzen zum Model Checking analoger Schaltungen hat sich stark an den bestehenden temporallogischen Verfahren aus dem Bereich digitaler Hardware orientiert. Ausgehend von einer Analyse digitaler Spezifikationskonzepte und der bestehenden Ansätze für analoge Eigenschaften wurden Anforderungen an eine neue Spezifikationssprache in dieser Arbeit abgeleitet. Die aus diesen Anforderungen im Rahmen dieser Arbeit entwickelte analoge Spezifikationssprache "Analog Specification Language" (ASL) basiert auf einer natürlichsprachlichen Kapselung temporallogischer Operationen, die mit erweiterten Algorithmen zur Transitionspfadbestimmung, Durchführung von Berechnungen auf Zustandsparametern und Oszillationsbestimmung eine hohe Ausdrucksstärke analoger Eigenschaften mit einer anwenderfreundlichen Syntax kombinieren konnte. Die zusammen mit ASL entwickelten Model Checking-Verifikationsalgorithmen zur Auswertung von ASL-Spezifikationen auf einem mit dem Trajektorien-gesteuerten Diskretisierungsverfahren erzeugten DATS-Modell bilden eine wesentliche Erweiterung zum Stand der Technik. Um einen Übergang der Verifikation von signalbasierten zu zustandsraumbasierten Methodiken zu ermöglichen, wurde im Rahmen dieser Arbeit ein Ansatz entwickelt, der die Übertragung von transienten Simulationsergebnissen aus nicht-formalen Testbench-Simulationsumgebungen in eine partielle DATS-Zustandsraumdarstellung ermöglicht. Damit kann, wie anhand von Beispielen gezeigt werden konnte, die gleiche ASL-Spezifikation für Eigenschaften eines vollständigen diskreten Modells ohne Modifikation auch auf Simulationsergebnissen ausgewertet werden. Ein für das formale ASL-basierte Model Checking entwickelter Ansatz zur Erzeugung von Gegenbeispielen für als spezifikationsverletzend identifizierte Zustandsraumgebiete erlaubt es, Transitionsfolgen von einem definierten Startzustand zu einem spezifikationsverletzenden Zustand zu ermitteln. Auf Basis dieses Gegenbeispiel-Verfahrens wurde eine neue formale Eigenschaftsverifikationsmethodik mittels vollständig den Zustandsraum einer Schaltung abdeckenden Eingangsstimuli entwickelt. Die vollständig den Zustandsraum abdeckenden Eingangsstimuli bieten noch eine weitere Anwendungsmöglichkeit im Bereich des Äquivalenzvergleichs. Die im Rahmen dieser Arbeit entwickelte Methodik zum formalen Äquivalenzvergleich auf Basis der vollständig den Zustandsraum abdeckenden Eingangsstimuli ersetzt die anwenderdefinierten Eingangsstimuli durch die vollständig den Zustandsraum abdeckenden. So kann die Äquivalenz für jeden möglichen Zustand der zu vergleichenden Implementierungen anhand eines automatisierten Vergleichs der Simulationsergebnisse beider Implementierungen gezeigt werden. Um die Ergebnisse der neu eingeführten formalen Verifikationsmethodiken visuell zu untersuchen wurde ein Verfahren entwickelt, das den Zustandsraum und seine Dynamik mittels eines Partikel-Simulationsansatzes visualisiert. Da die Partikel über den gesamten Zustandsraum randomisiert verteilt werden und sich dann gemäß der Vektorfelddynamik fortbewegen, kann auch hier ein Einblick in das Systemverhalten gewonnen werden, der eine weitestgehend vollständige und somit formale Repräsentation des Zustandsraums bietet. Die prototypische Implementierung der im Rahmen dieser Arbeit entwickelten formalen Verifikationsmethodiken wurde auf zahlreiche Beispielschaltungen angewendet. Die Ergebnisse für die neuen Ansätze zur diskreten Modellierung, zur Spezifikation und zu Verifikationsalgorithmen analoger Schaltungen zeigen, dass die aus diesen Ansätzen erzeugten Verifikationsmethodiken erfolgreich auf komplexe Zustandsraumstrukturen angewendet werden können

Hybrid modeling and control of mechatronic systems using a piecewise affine dynamics approach

This thesis investigates the topic of modeling and control of PWA systems based on two experimental cases of an electrical and hydraulic nature with varying complexity that were also built, instrumented and evaluated. A full-order model has been created for both systems, including all dominant system dynamics and non-linearities. The unknown parameters and characteristics have been identi ed via an extensive parameter identi cation. In the following, the non-linear characteristics are linearized at several points, resulting in PWA models for each respective setup. Regarding the closed loop control of the generated models and corresponding experimental setups, a linear control structure comprised of integral error, feed-forward and state-feedback control has been used. Additionally, the hydraulic setup has been controlled in an autonomous hybrid position/force control mode, resulting in a switched system with each mode's dynamics being de ned by the previously derived PWA-based model in combination with the control structure and respective mode-dependent controller gains. The autonomous switch between control modes has been de ned by a switching event capable of consistently switching between modes in a deterministic manner despite the noise-a icted measurements. Several methods were used to obtain suitable controller gains, including optimization routines and pole placement. Validation of the system's fast and accurate response was obtained through simulations and experimental evaluation. The controlled system's local stability was proven for regions in state-space associated with operational points by using pole-zero analysis. The stability of the hybrid control approach was proven by using multiple Lyapunov functions for the investigated test scenarios.publishedVersio

Moving Towards Analog Functional Safety

Over the past century, the exponential growth of the semiconductor industry has led to the creation of tiny and complex integrated circuits, e.g., sensors, actuators, and smart power systems. Innovative techniques are needed to ensure the correct functionality of analog devices that are ubiquitous in every smart system. The standard ISO 26262 related to functional safety in the automotive context specifies that fault injection is necessary to validate all electronic devices. For decades, standardizing fault modeling, injection and simulation mainly focused on digital circuits and disregarding analog ones. An initial attempt is being made with the IEEE P2427 standard draft standard that started to give this field a structured and formal organization. In this context, new fault models, injection, and abstraction methodologies for analog circuits are proposed in this thesis to enhance this application field. The faults proposed by the IEEE P2427 standard draft standard are initially evaluated to understand the associated fault behaviors during the simulation. Moreover, a novel approach is presented for modeling realistic stuck-on/off defects based on oxide defects. These new defects proposed are required because digital stuck-at-fault models where a transistor is frozen in on-state or offstate may not apply well on analog circuits because even a slight variation could create deviations of several magnitudes. Then, for validating the proposed defects models, a novel predictive fault grouping based on faulty AC matrices is applied to group faults with equivalent behaviors. The proposed fault grouping method is computationally cheap because it avoids performing DC or transient simulations with faults injected and limits itself to faulty AC simulations. Using AC simulations results in two different methods that allow grouping faults with the same frequency response are presented. The first method is an AC-based grouping method that exploits the potentialities of the S-parameters ports. While the second is a Circle-based grouping based on the circle-fitting method applied to the extracted AC matrices. Finally, an open-source framework is presented for the fault injection and manipulation perspective. This framework relies on the shared semantics for reading, writing, or manipulating transistor-level designs. The ultimate goal of the framework is: reading an input design written in a specific syntax and then allowing to write the same design in another syntax. As a use case for the proposed framework, a process of analog fault injection is discussed. This activity requires adding, removing, or replacing nodes, components, or even entire sub-circuits. The framework is entirely written in C++, and its APIs are also interfaced with Python. The entire framework is open-source and available on GitHub. The last part of the thesis presents abstraction methodologies that can abstract transistor level models into Verilog-AMS models and Verilog- AMS piecewise and nonlinear models into C++. These abstracted models can be integrated into heterogeneous systems. The purpose of integration is the simulation of heterogeneous components embedded in a Virtual Platforms (VP) needs to be fast and accurate

Optimum Adaptive Piecewise Linearization: An Estimation Approach in Wind Power

This paper introduces an effective piecewise linearization technique to obtain an estimation of nonlinear models when their input-output domains include multidimensional operating points. The algorithm of a forward adaptive approach is introduced to identify the effective operating points for model linearization and adjust their domains for the maximum coverage and the minimum model linearization error. The technique obtains a minimum number of linearized models and the continuity of their domains. The algorithm also yields global minimum model linearization error. The introduced algorithm is formulated for a wind power transfer system for a 2-D set of input domains. The linearization error can be arbitrarily minimized in exchange for a higher number of models. The results demonstrate a significant improvement in the linearization of nonlinear models

Formal verification of analog and mixed signal designs: A survey

Analog and mixed signal (AMS) designs are an important part of embedded systems that link digital designs to the analog world. Due to challenges associated with its verification process, AMS designs require a considerable portion of the total design cycle time. In contrast to digital designs, the verification of AMS systems is a challenging task that requires lots of expertise and deep understanding of their behavior. Researchers started lately studying the applicability of formal methods for the verification of AMS systems as a way to tackle the limitations of conventional verification methods like simulation. This paper surveys research activities in the formal verification of AMS designs as well as compares the different proposed approaches