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

VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing

The hardware implementation of deep neural networks (DNNs) has recently received tremendous attention: many applications in fact require high-speed operations that suit a hardware implementation. However, numerous elements and complex interconnections are usually required, leading to a large area occupation and copious power consumption. Stochastic computing has shown promising results for low-power area-efficient hardware implementations, even though existing stochastic algorithms require long streams that cause long latencies. In this paper, we propose an integer form of stochastic computation and introduce some elementary circuits. We then propose an efficient implementation of a DNN based on integral stochastic computing. The proposed architecture has been implemented on a Virtex7 FPGA, resulting in 45% and 62% average reductions in area and latency compared to the best reported architecture in literature. We also synthesize the circuits in a 65 nm CMOS technology and we show that the proposed integral stochastic architecture results in up to 21% reduction in energy consumption compared to the binary radix implementation at the same misclassification rate. Due to fault-tolerant nature of stochastic architectures, we also consider a quasi-synchronous implementation which yields 33% reduction in energy consumption w.r.t. the binary radix implementation without any compromise on performance.Comment: 11 pages, 12 figure

Evaluating Built-in ECC of FPGA on-chip Memories for the Mitigation of Undervolting Faults

Voltage underscaling below the nominal level is an effective solution for improving energy efficiency in digital circuits, e.g., Field Programmable Gate Arrays (FPGAs). However, further undervolting below a safe voltage level and without accompanying frequency scaling leads to timing related faults, potentially undermining the energy savings. Through experimental voltage underscaling studies on commercial FPGAs, we observed that the rate of these faults exponentially increases for on-chip memories, or Block RAMs (BRAMs). To mitigate these faults, we evaluated the efficiency of the built-in Error-Correction Code (ECC) and observed that more than 90% of the faults are correctable and further 7% are detectable (but not correctable). This efficiency is the result of the single-bit type of these faults, which are then effectively covered by the Single-Error Correction and Double-Error Detection (SECDED) design of the built-in ECC. Finally, motivated by the above experimental observations, we evaluated an FPGA-based Neural Network (NN) accelerator under low-voltage operations, while built-in ECC is leveraged to mitigate undervolting faults and thus, prevent NN significant accuracy loss. In consequence, we achieve 40% of the BRAM power saving through undervolting below the minimum safe voltage level, with a negligible NN accuracy loss, thanks to the substantial fault coverage by the built-in ECC.Comment: 6 pages, 2 figure

DeSyRe: on-Demand System Reliability

The DeSyRe project builds on-demand adaptive and reliable Systems-on-Chips (SoCs). As fabrication technology scales down, chips are becoming less reliable, thereby incurring increased power and performance costs for fault tolerance. To make matters worse, power density is becoming a significant limiting factor in SoC design, in general. In the face of such changes in the technological landscape, current solutions for fault tolerance are expected to introduce excessive overheads in future systems. Moreover, attempting to design and manufacture a totally defect and fault-free system, would impact heavily, even prohibitively, the design, manufacturing, and testing costs, as well as the system performance and power consumption. In this context, DeSyRe delivers a new generation of systems that are reliable by design at well-balanced power, performance, and design costs. In our attempt to reduce the overheads of fault-tolerance, only a small fraction of the chip is built to be fault-free. This fault-free part is then employed to manage the remaining fault-prone resources of the SoC. The DeSyRe framework is applied to two medical systems with high safety requirements (measured using the IEC 61508 functional safety standard) and tight power and performance constraints

Design techniques for xilinx virtex FPGA configuration memory scrubbers

SRAM-based FPGAs are in-field reconfigurable an unlimited number of times. This characteristic, together with their high performance and high logic density, proves to be very convenient for a number of ground and space level applications. One drawback of this technology is that it is susceptible to ionizing radiation, and this sensitivity increases with technology scaling. This is a first order concern for applications in harsh radiation environments, and starts to be a concern for high reliability ground applications. Several techniques exist for coping with radiation effects at user application. In order to be effective they need to be complemented with configuration memory scrubbing, which allows error mitigation and prevents failures due to error accumulation. Depending on the radiation environment and on the system dependability requirements, the configuration scrubber design can become more or less complex. This paper classifies and presents current and novel design methodologies and architectures for SRAM-based FPGAs, and in particular for Xilinx Virtex-4QV/5QV, configuration memory scrubbers