Compressed Skewed-Load Delay Test Generation Based on Evolution and Deterministic Initialization of Populations

The current design and manufacturing semiconductor technologies require to test the products against delay related defects. However, complex acpSOC require low-overhead testability methods to keep the test cost at an acceptable level. Skewed-load tests seem to be the appropriate way to test delay faults in these acpSOC because the test application requires only one storage element per scan cell. Compressed skewed-load test generator based on genetic algorithm is proposed for wrapper-based logic cores of acpSOC. Deterministic population initialization is used to ensure the highest achievable aclTDF coverage for the given wrapper and scan cell order. The developed method performs test data compression by generating test vectors containing already overlapped test vector pairs. The experimental results show high fault coverages, decreased test lengths and better scalability in comparison to recent methods

Advanced flight control system study

The architecture, requirements, and system elements of an ultrareliable, advanced flight control system are described. The basic criteria are functional reliability of 10 to the minus 10 power/hour of flight and only 6 month scheduled maintenance. A distributed system architecture is described, including a multiplexed communication system, reliable bus controller, the use of skewed sensor arrays, and actuator interfaces. Test bed and flight evaluation program are proposed

Investigation into voltage and process variation-aware manufacturing test

Increasing integration and complexity in IC design provides challenges for manufacturing testing. This thesis studies how process and supply voltage variation influence defect behaviour to determine the impact on manufacturing test cost and quality. The focus is on logic testing of static CMOS designs with respect to two important defect types in deep submicron CMOS: resistive bridges and full opens. The first part of the thesis addresses testing for resistive bridge defects in designs with multiple supply voltage settings. To enable analysis, a fault simulator is developed using a supply voltage-aware model for bridge defect behaviour. The analysis shows that for high defect coverage it is necessary to perform test for more than one supply voltage setting, due to supply voltage-dependent behaviour. A low-cost and effective test method is presented consisting of multi-voltage test generation that achieves high defect coverage and test set size reduction without compromise to defect coverage. Experiments on synthesised benchmarks with realistic bridge locations validate the proposed method.The second part focuses on the behaviour of full open defects under supply voltage variation. The aim is to determine the appropriate value of supply voltage to use when testing. Two models are considered for the behaviour of full open defects with and without gate tunnelling leakage influence. Analysis of the supply voltage-dependent behaviour of full open defects is performed to determine if it is required to test using more than one supply voltage to detect all full open defects. Experiments on synthesised benchmarks using an extended version of the fault simulator tool mentioned above, measure the quantitative impact of supply voltage variation on defect coverage.The final part studies the impact of process variation on the behaviour of bridge defects. Detailed analysis using synthesised ISCAS benchmarks and realistic bridge model shows that process variation leads to additional faults. If process variation is not considered in test generation, the test will fail to detect some of these faults, which leads to test escapes. A novel metric to quantify the impact of process variation on test quality is employed in the development of a new test generation tool, which achieves high bridge defect coverage. The method achieves a user-specified test quality with test sets which are smaller than test sets generated without consideration of process variation

Alternative Sources of Energy Modeling, Automation, Optimal Planning and Operation

An economic development model analyzes the adoption of alternative strategy capable of leveraging the economy, based essentially on RES. The combination of wind turbine, PV installation with new technology battery energy storage, DSM network and RES forecasting algorithms maximizes RES integration in isolated islands. An innovative model of power system (PS) imbalances is presented, which aims to capture various features of the stochastic behavior of imbalances and to reduce in average reserve requirements and PS risk. Deep learning techniques for medium-term wind speed and solar irradiance forecasting are presented, using for first time a specific cloud index. Scalability-replicability of the FLEXITRANSTORE technology innovations integrates hardware-software solutions in all areas of the transmission system and the wholesale markets, promoting increased RES. A deep learning and GIS approach are combined for the optimal positioning of wave energy converters. An innovative methodology to hybridize battery-based energy storage using supercapacitors for smoother power profile, a new control scheme and battery degradation mechanism and their economic viability are presented. An innovative module-level photovoltaic (PV) architecture in parallel configuration is introduced maximizing power extraction under partial shading. A new method for detecting demagnetization faults in axial flux permanent magnet synchronous wind generators is presented. The stochastic operating temperature (OT) optimization integrated with Markov Chain simulation ascertains a more accurate OT for guiding the coal gasification practice

High Quality Delay Testing Scheme for a Self-Timed Microprocessor

RÉSUMÉ La popularité d’internet et la quantité toujours croissante de données qui transitent à travers ses terminaux nécessite d’importantes infrastructures de serveurs qui consomment énormément d’énergie. Par conséquent, et puisqu’une augmentation de la consommation d’énergie se traduit par une augmentation des coûts, la demande pour des processeurs efficaces en énergie est en forte hausse. Une manière d’augmenter l’efficacité énergétique des processeurs consiste à moduler la fréquence d’opération du système en fonction de la charge de travail. Les processeurs endochrones et asynchrones sont une des solutions mettant en œuvre ce principe de modulation de l’activité à la demande. Cependant, les méthodes de conception non conventionnelles qui leur sont associées, en particulier en termes de testabilité et d’automation, sont un frein au développement de ce type de systèmes. Ce travail s’intéresse au développement d’une méthode de test de haute qualité adressée aux pannes de retards dans une architecture de processeur endochrone spécifique, appelée AnARM. La méthode proposée consiste à détecter les pannes à faibles retards (PFR) dans l’AnARM en tirant profit des lignes à délais configurables intégrées. Ces pannes sont connues pour passer au travers des modèles de pannes de retards utilisés habituellement (les pannes de retards de portes). Ce travail s’intéresse principalement aux PFR qui échappent à la détection des pannes de retards de portes mais qui sont suffisamment longues pour provoquer des erreurs dans des conditions normales d’opération. D’autre part, la détection de pannes à très faibles retards est évitée, autant que possible, afin de limiter le nombre de faux positifs. Pour réaliser un test de haute qualité, ce travail propose, dans un premier temps, une métrique de test dédiée aux PFR, qui est mieux adaptée aux circuits endochrones, puis, dans un second temps, une méthode de test des pannes de retards basée sur la modulation de la vitesse des lignes à délais intégrés, qui s’adapte à un jeu de vecteurs de test préexistant.Ce travail présente une métrique de test ciblant les PFR, appelée pourcentage de marges pondérées (PoMP), ainsi qu’un nouveau modèle de test pour les PFR (appelé test de PFR idéal).----------ABSTRACT The popularity of the Internet and the huge amount of data that is transfered between devices nowadays requires very powerful servers that demand lots of power. Since higher power consumptions mean more expenses to companies, there is an increase in demand for power eÿcient processors. One of the ways to increase the power eÿciency of processors is to adapt the processing speeds and chip activity according the needed computation load. Self-timed or asynchronous processors are one of the solutions that apply this principle of activity on demand. However, their unconventional design methodology introduces several challenges in terms of testability and design automation. This work focuses on developing a high quality delay test for a specific architecture of self-timed processors called the AnARM. The proposed delay test focuses on catching e˙ective small-delay defects (SDDs) in the AnARM by taking advantage of built-in configurable delay lines. Those defects are known to escape one of the most commonly used delay fault models (the transition delay fault model). This work mainly focuses on e˙ective SDDs which can escape transition delay fault testing and are large enough to fail the circuit under normal operating conditions. At the same time, catching very small delay defects is avoided, when possible, to avoid falsely failing functional chips. To build the high quality delay test, this work develops an SDD test quality metric that is better suited for circuits with adaptable speeds. Then, it builds a delay test optimizer that adapts the built-in delay lines speeds to a preexisting at-speed pattern set to create a high quality SDD test. This work presents a novel SDD test quality metric called the weighted slack percentage (WeSPer), along with a new SDD testing model (named the ideal SDD test model). WeSPer is built to be a flexible metric capable of adapting to the availability of information about the circuit under test and the test environment. Since the AnARM can use multiple test speeds, WeSPer computation takes special care of assessing the effects of test frequency changes on the test quality. Specifically, special care is taken into avoiding overtesting the circuit. Overtesting will cause circuits under test to fail due to defects that are too small to affect the functionality of these circuits in their present state. A computation framework is built to compute WeSPer and compare it with other existing metrics in the literature over a large sets of process-voltage-temperature computation points. Simulations are done on a selected set of known benchmark circuits synthesized in the 28nm FD-SOI technology from STMicroelectronics

Robust low-power digital circuit design in nano-CMOS technologies

Device scaling has resulted in large scale integrated, high performance, low-power, and low cost systems. However the move towards sub-100 nm technology nodes has increased variability in device characteristics due to large process variations. Variability has severe implications on digital circuit design by causing timing uncertainties in combinational circuits, degrading yield and reliability of memory elements, and increasing power density due to slow scaling of supply voltage. Conventional design methods add large pessimistic safety margins to mitigate increased variability, however, they incur large power and performance loss as the combination of worst cases occurs very rarely. In-situ monitoring of timing failures provides an opportunity to dynamically tune safety margins in proportion to on-chip variability that can significantly minimize power and performance losses. We demonstrated by simulations two delay sensor designs to detect timing failures in advance that can be coupled with different compensation techniques such as voltage scaling, body biasing, or frequency scaling to avoid actual timing failures. Our simulation results using 45 nm and 32 nm technology BSIM4 models indicate significant reduction in total power consumption under temperature and statistical variations. Future work involves using dual sensing to avoid useless voltage scaling that incurs a speed loss. SRAM cache is the first victim of increased process variations that requires handcrafted design to meet area, power, and performance requirements. We have proposed novel 6 transistors (6T), 7 transistors (7T), and 8 transistors (8T)-SRAM cells that enable variability tolerant and low-power SRAM cache designs. Increased sense-amplifier offset voltage due to device mismatch arising from high variability increases delay and power consumption of SRAM design. We have proposed two novel design techniques to reduce offset voltage dependent delays providing a high speed low-power SRAM design. Increasing leakage currents in nano-CMOS technologies pose a major challenge to a low-power reliable design. We have investigated novel segmented supply voltage architecture to reduce leakage power of the SRAM caches since they occupy bulk of the total chip area and power. Future work involves developing leakage reduction methods for the combination logic designs including SRAM peripherals