Exploration and Analysis of Combinations of Hamming Codes in 32-bit Memories

Reducing the threshold voltage of electronic devices increases their sensitivity to electromagnetic radiation dramatically, increasing the probability of changing the memory cells' content. Designers mitigate failures using techniques such as Error Correction Codes (ECCs) to maintain information integrity. Although there are several studies of ECC usage in spatial application memories, there is still no consensus in choosing the type of ECC as well as its organization in memory. This work analyzes some configurations of the Hamming codes applied to 32-bit memories in order to use these memories in spatial applications. This work proposes the use of three types of Hamming codes: Ham(31,26), Ham(15,11), and Ham(7,4), as well as combinations of these codes. We employed 36 error patterns, ranging from one to four bit-flips, to analyze these codes. The experimental results show that the Ham(31,26) configuration, containing five bits of redundancy, obtained the highest rate of simple error correction, almost 97\%, with double, triple, and quadruple error correction rates being 78.7\%, 63.4\%, and 31.4\%, respectively. While an ECC configuration encompassed four Ham(7.4), which uses twelve bits of redundancy, only fixes 87.5\% of simple errors

Cross-layer Soft Error Analysis and Mitigation at Nanoscale Technologies

This thesis addresses the challenge of soft error modeling and mitigation in nansoscale technology nodes and pushes the state-of-the-art forward by proposing novel modeling, analyze and mitigation techniques. The proposed soft error sensitivity analysis platform accurately models both error generation and propagation starting from a technology dependent device level simulations all the way to workload dependent application level analysis

Novel fault tolerant Multi-Bit Upset (MBU) Error-Detection and Correction (EDAC) architecture

Desde el punto de vista de seguridad, la certificación aeronáutica de aplicaciones críticas de vuelo requiere diferentes técnicas que son usadas para prevenir fallos en los equipos electrónicos. Los fallos de tipo hardware debido a la radiación solar que existe a las alturas standard de vuelo, como SEU (Single Event Upset) y MCU (Multiple Bit Upset), provocan un cambio de estado de los bits que soportan la información almacenada en memoria. Estos fallos se producen, por ejemplo, en la memoria de configuración de una FPGA, que es donde se definen todas las funcionalidades. Las técnicas de protección requieren normalmente de redundancias que incrementan el coste, número de componentes, tamaño de la memoria y peso. En la fase de desarrollo de aplicaciones críticas de vuelo, generalmente se utilizan una serie de estándares o recomendaciones de diseño como ABD100, RTCA DO-160, IEC62395, etc, y diferentes técnicas de protección para evitar fallos del tipo SEU o MCU. Estas técnicas están basadas en procesos tecnológicos específicos como memorias robustas, codificaciones para detección y corrección de errores (EDAC), redundancias software, redundancia modular triple (TMR) o soluciones a nivel sistema. Esta tesis está enfocada a minimizar e incluso suprimir los efectos de los SEUs y MCUs que particularmente ocurren en la electrónica de avión como consecuencia de la exposición a radiación de partículas no cargadas (como son los neutrones) que se encuentra potenciada a las típicas alturas de vuelo. La criticidad en vuelo que tienen determinados sistemas obligan a que dichos sistemas sean tolerantes a fallos, es decir, que garanticen un correcto funcionamiento aún cuando se produzca un fallo en ellos. Es por ello que soluciones como las presentadas en esta tesis tienen interés en el sector industrial. La Tesis incluye una descripción inicial de la física de la radiación incidente sobre aeronaves, y el análisis de sus efectos en los componentes electrónicos aeronaúticos basados en semiconductor, que desembocan en la generación de SEUs y MCUs. Este análisis permite dimensionar adecuadamente y optimizar los procedimientos de corrección que se propongan posteriormente. La Tesis propone un sistema de corrección de fallos SEUs y MCUs que permita cumplir la condición de Sistema Tolerante a Fallos, a la vez que minimiza los niveles de redundancia y de complejidad de los códigos de corrección. El nivel de redundancia es minimizado con la introducción del concepto propuesto HSB (Hardwired Seed Bits), en la que se reduce la información esencial a unos pocos bits semilla, neutros frente a radiación. Los códigos de corrección requeridos se reducen a la corrección de un único error, gracias al uso del concepto de Distancia Virtual entre Bits, a partir del cual será posible corregir múltiples errores simultáneos (MCUs) a partir de códigos simples de corrección. Un ejemplo de aplicación de la Tesis es la implementación de una Protección Tolerante a Fallos sobre la memoria SRAM de una FPGA. Esto significa que queda protegida no sólo la información contenida en la memoria sino que también queda auto-protegida la función de protección misma almacenada en la propia SRAM. De esta forma, el sistema es capaz de auto-regenerarse ante un SEU o incluso un MCU, independientemente de la zona de la SRAM sobre la que impacte la radiación. Adicionalmente, esto se consigue con códigos simples tales como corrección por bit de paridad y Hamming, minimizando la dedicación de recursos de computación hacia tareas de supervisión del sistema.For airborne safety critical applications certification, different techniques are implemented to prevent failures in electronic equipments. The HW failures at flying heights of aircrafts related to solar radiation such as SEU (Single-Event-Upset) and MCU (Multiple Bit Upset), causes bits alterations that corrupt the information at memories. These HW failures cause errors, for example, in the Configuration-Code of an FPGA that defines the functionalities. The protection techniques require classically redundant functionalities that increases the cost, components, memory space and weight. During the development phase for airborne safety critical applications, different aerospace standards are generally recommended as ABD100, RTCA-DO160, IEC62395, etc, and different techniques are classically used to avoid failures such as SEU or MCU. These techniques are based on specific technology processes, Hardened memories, error detection and correction codes (EDAC), SW redundancy, Triple Modular Redundancy (TMR) or System level solutions. This Thesis is focussed to minimize, and even to remove, the effects of SEUs and MCUs, that particularly occurs in the airborne electronics as a consequence of its exposition to solar radiation of non-charged particles (for example the neutrons). These non-charged particles are even powered at flying altitudes due to aircraft volume. The safety categorization of different equipments/functionalities requires a design based on fault-tolerant approach that means, the system will continue its normal operation even if a failure occurs. The solution proposed in this Thesis is relevant for the industrial sector because of its Fault-tolerant capability. Thesis includes an initial description for the physics of the solar radiation that affects into aircrafts, and also the analyses of their effects into the airborne electronics based on semiconductor components that create the SEUs and MCUs. This detailed analysis allows the correct sizing and also the optimization of the procedures used to correct the errors. This Thesis proposes a system that corrects the SEUs and MCUs allowing the fulfilment of the Fault-Tolerant requirement, reducing the redundancy resources and also the complexity of the correction codes. The redundancy resources are minimized thanks to the introduction of the concept of HSB (Hardwired Seed Bits), in which the essential information is reduced to a few seed bits, neutral to radiation. The correction codes required are reduced to the correction of one error thanks to the use of the concept of interleaving distance between adjacent bits, this allows the simultaneous multiple error correction with simple single error correcting codes. An example of the application of this Thesis is the implementation of the Fault-tolerant architecture of an SRAM-based FPGA. That means that the information saved in the memory is protected but also the correction functionality is auto protected as well, also saved into SRAM memory. In this way, the system is able to self-regenerate the information lost in case of SEUs or MCUs. This is independent of the SRAM area affected by the radiation. Furthermore, this performance is achieved by means simple error correcting codes, as parity bits or Hamming, that minimize the use of computational resources to this supervision tasks for system.Programa Oficial de Doctorado en Ingeniería Eléctrica, Electrónica y AutomáticaPresidente: Luis Alfonso Entrena Arrontes.- Secretario: Pedro Reviriego Vasallo.- Vocal: Mª Luisa López Vallej

Soft Error Resistant Design of the AES Cipher Using SRAM-based FPGA

This thesis presents a new architecture for the reliable implementation of the symmetric-key algorithm Advanced Encryption Standard (AES) in Field Programmable Gate Arrays (FPGAs). Since FPGAs are prone to soft errors caused by radiation, and AES is highly sensitive to errors, reliable architectures are of significant concern. Energetic particles hitting a device can flip bits in FPGA SRAM cells controlling all aspects of the implementation. Unlike previous research, heterogeneous error detection techniques based on properties of the circuit and functionality are used to provide adequate reliability at the lowest possible cost. The use of dual ported block memory for SubBytes, duplication for the control circuitry, and a new enhanced parity technique for MixColumns is proposed. Previous parity techniques cover single errors in datapath registers, however, soft errors can occur in the control circuitry as well as in SRAM cells forming the combinational logic and routing. In this research, propagation of single errors is investigated in the routed netlist. Weaknesses of the previous parity techniques are identified. Architectural redesign at the register-transfer level is introduced to resolve undetected single errors in both the routing and the combinational logic. Reliability of the AES implementation is not only a critical issue in large scale FPGA-based systems but also at both higher altitudes and in space applications where there are a larger number of energetic particles. Thus, this research is important for providing efficient soft error resistant design in many current and future secure applications

Sustainable Fault-handling Of Reconfigurable Logic Using Throughput-driven Assessment

A sustainable Evolvable Hardware (EH) system is developed for SRAM-based reconfigurable Field Programmable Gate Arrays (FPGAs) using outlier detection and group testing-based assessment principles. The fault diagnosis methods presented herein leverage throughput-driven, relative fitness assessment to maintain resource viability autonomously. Group testing-based techniques are developed for adaptive input-driven fault isolation in FPGAs, without the need for exhaustive testing or coding-based evaluation. The techniques maintain the device operational, and when possible generate validated outputs throughout the repair process. Adaptive fault isolation methods based on discrepancy-enabled pair-wise comparisons are developed. By observing the discrepancy characteristics of multiple Concurrent Error Detection (CED) configurations, a method for robust detection of faults is developed based on pairwise parallel evaluation using Discrepancy Mirror logic. The results from the analytical FPGA model are demonstrated via a self-healing, self-organizing evolvable hardware system. Reconfigurability of the SRAM-based FPGA is leveraged to identify logic resource faults which are successively excluded by group testing using alternate device configurations. This simplifies the system architect\u27s role to definition of functionality using a high-level Hardware Description Language (HDL) and system-level performance versus availability operating point. System availability, throughput, and mean time to isolate faults are monitored and maintained using an Observer-Controller model. Results are demonstrated using a Data Encryption Standard (DES) core that occupies approximately 305 FPGA slices on a Xilinx Virtex-II Pro FPGA. With a single simulated stuck-at-fault, the system identifies a completely validated replacement configuration within three to five positive tests. The approach demonstrates a readily-implemented yet robust organic hardware application framework featuring a high degree of autonomous self-control

Robust design of deep-submicron digital circuits

Avec l'augmentation de la probabilité de fautes dans les circuits numériques, les systèmes développés pour les environnements critiques comme les centrales nucléaires, les avions et les applications spatiales doivent être certifies selon des normes industrielles. Cette thèse est un résultat d'une cooperation CIFRE entre l'entreprise Électricité de France (EDF) R&D et Télécom Paristech. EDF est l'un des plus gros producteurs d'énergie au monde et possède de nombreuses centrales nucléaires. Les systèmes de contrôle-commande utilisé dans les centrales sont basés sur des dispositifs électroniques, qui doivent être certifiés selon des normes industrielles comme la CEI 62566, la CEI 60987 et la CEI 61513 à cause de la criticité de l'environnement nucléaire. En particulier, l'utilisation des dispositifs programmables comme les FPGAs peut être considérée comme un défi du fait que la fonctionnalité du dispositif est définie par le concepteur seulement après sa conception physique. Le travail présenté dans ce mémoire porte sur la conception de nouvelles méthodes d'analyse de la fiabilité aussi bien que des méthodes d'amélioration de la fiabilité d'un circuit numérique.The design of circuits to operate at critical environments, such as those used in control-command systems at nuclear power plants, is becoming a great challenge with the technology scaling. These circuits have to pass through a number of tests and analysis procedures in order to be qualified to operate. In case of nuclear power plants, safety is considered as a very high priority constraint, and circuits designed to operate under such critical environment must be in accordance with several technical standards such as the IEC 62566, the IEC 60987, and the IEC 61513. In such standards, reliability is treated as a main consideration, and methods to analyze and improve the circuit reliability are highly required. The present dissertation introduces some methods to analyze and to improve the reliability of circuits in order to facilitate their qualification according to the aforementioned technical standards. Concerning reliability analysis, we first present a fault-injection based tool used to assess the reliability of digital circuits. Next, we introduce a method to evaluate the reliability of circuits taking into account the ability of a given application to tolerate errors. Concerning reliability improvement techniques, first two different strategies to selectively harden a circuit are proposed. Finally, a method to automatically partition a TMR design based on a given reliability requirement is introduced.PARIS-Télécom ParisTech (751132302) / SudocSudocFranceF

Adaptive Intelligent Systems for Extreme Environments

As embedded processors become powerful, a growing number of embedded systems equipped with artificial intelligence (AI) algorithms have been used in radiation environments to perform routine tasks to reduce radiation risk for human workers. On the one hand, because of the low price, commercial-off-the-shelf devices and components are becoming increasingly popular to make such tasks more affordable. Meanwhile, it also presents new challenges to improve radiation tolerance, the capability to conduct multiple AI tasks and deliver the power efficiency of the embedded systems in harsh environments. There are three aspects of research work that have been completed in this thesis: 1) a fast simulation method for analysis of single event effect (SEE) in integrated circuits, 2) a self-refresh scheme to detect and correct bit-flips in random access memory (RAM), and 3) a hardware AI system with dynamic hardware accelerators and AI models for increasing flexibility and efficiency. The variances of the physical parameters in practical implementation, such as the nature of the particle, linear energy transfer and circuit characteristics, may have a large impact on the final simulation accuracy, which will significantly increase the complexity and cost in the workflow of the transistor level simulation for large-scale circuits. It makes it difficult to conduct SEE simulations for large-scale circuits. Therefore, in the first research work, a new SEE simulation scheme is proposed, to offer a fast and cost-efficient method to evaluate and compare the performance of large-scale circuits which subject to the effects of radiation particles. The advantages of transistor and hardware description language (HDL) simulations are combined here to produce accurate SEE digital error models for rapid error analysis in large-scale circuits. Under the proposed scheme, time-consuming back-end steps are skipped. The SEE analysis for large-scale circuits can be completed in just few hours. In high-radiation environments, bit-flips in RAMs can not only occur but may also be accumulated. However, the typical error mitigation methods can not handle high error rates with low hardware costs. In the second work, an adaptive scheme combined with correcting codes and refreshing techniques is proposed, to correct errors and mitigate error accumulation in extreme radiation environments. This scheme is proposed to continuously refresh the data in RAMs so that errors can not be accumulated. Furthermore, because the proposed design can share the same ports with the user module without changing the timing sequence, it thus can be easily applied to the system where the hardware modules are designed with fixed reading and writing latency. It is a challenge to implement intelligent systems with constrained hardware resources. In the third work, an adaptive hardware resource management system for multiple AI tasks in harsh environments was designed. Inspired by the “refreshing” concept in the second work, we utilise a key feature of FPGAs, partial reconfiguration, to improve the reliability and efficiency of the AI system. More importantly, this feature provides the capability to manage the hardware resources for deep learning acceleration. In the proposed design, the on-chip hardware resources are dynamically managed to improve the flexibility, performance and power efficiency of deep learning inference systems. The deep learning units provided by Xilinx are used to perform multiple AI tasks simultaneously, and the experiments show significant improvements in power efficiency for a wide range of scenarios with different workloads. To further improve the performance of the system, the concept of reconfiguration was further extended. As a result, an adaptive DL software framework was designed. This framework can provide a significant level of adaptability support for various deep learning algorithms on an FPGA-based edge computing platform. To meet the specific accuracy and latency requirements derived from the running applications and operating environments, the platform may dynamically update hardware and software (e.g., processing pipelines) to achieve better cost, power, and processing efficiency compared to the static system

Fault Tolerant Electronic System Design

Due to technology scaling, which means reduced transistor size, higher density, lower voltage and more aggressive clock frequency, VLSI devices may become more sensitive against soft errors. Especially for those devices used in safety- and mission-critical applications, dependability and reliability are becoming increasingly important constraints during the development of system on/around them. Other phenomena (e.g., aging and wear-out effects) also have negative impacts on reliability of modern circuits. Recent researches show that even at sea level, radiation particles can still induce soft errors in electronic systems. On one hand, processor-based system are commonly used in a wide variety of applications, including safety-critical and high availability missions, e.g., in the automotive, biomedical and aerospace domains. In these fields, an error may produce catastrophic consequences. Thus, dependability is a primary target that must be achieved taking into account tight constraints in terms of cost, performance, power and time to market. With standards and regulations (e.g., ISO-26262, DO-254, IEC-61508) clearly specify the targets to be achieved and the methods to prove their achievement, techniques working at system level are particularly attracting. On the other hand, Field Programmable Gate Array (FPGA) devices are becoming more and more attractive, also in safety- and mission-critical applications due to the high performance, low power consumption and the flexibility for reconfiguration they provide. Two types of FPGAs are commonly used, based on their configuration memory cell technology, i.e., SRAM-based and Flash-based FPGA. For SRAM-based FPGAs, the SRAM cells of the configuration memory highly susceptible to radiation induced effects which can leads to system failure; and for Flash-based FPGAs, even though their non-volatile configuration memory cells are almost immune to Single Event Upsets induced by energetic particles, the floating gate switches and the logic cells in the configuration tiles can still suffer from Single Event Effects when hit by an highly charged particle. So analysis and mitigation techniques for Single Event Effects on FPGAs are becoming increasingly important in the design flow especially when reliability is one of the main requirements

Dynamic Partial Reconfiguration for Dependable Systems

Moore’s law has served as goal and motivation for consumer electronics manufacturers in the last decades. The results in terms of processing power increase in the consumer electronics devices have been mainly achieved due to cost reduction and technology shrinking. However, reducing physical geometries mainly affects the electronic devices’ dependability, making them more sensitive to soft-errors like Single Event Transient (SET) of Single Event Upset (SEU) and hard (permanent) faults, e.g. due to aging effects. Accordingly, safety critical systems often rely on the adoption of old technology nodes, even if they introduce longer design time w.r.t. consumer electronics. In fact, functional safety requirements are increasingly pushing industry in developing innovative methodologies to design high-dependable systems with the required diagnostic coverage. On the other hand commercial off-the-shelf (COTS) devices adoption began to be considered for safety-related systems due to real-time requirements, the need for the implementation of computationally hungry algorithms and lower design costs. In this field FPGA market share is constantly increased, thanks to their flexibility and low non-recurrent engineering costs, making them suitable for a set of safety critical applications with low production volumes. The works presented in this thesis tries to face new dependability issues in modern reconfigurable systems, exploiting their special features to take proper counteractions with low impacton performances, namely Dynamic Partial Reconfiguration