Optimizing Scrubbing by Netlist Analysis for FPGA Configuration Bit Classification and Floorplanning

Existing scrubbing techniques for SEU mitigation on FPGAs do not guarantee an error-free operation after SEU recovering if the affected configuration bits do belong to feedback loops of the implemented circuits. In this paper, we a) provide a netlist-based circuit analysis technique to distinguish so-called critical configuration bits from essential bits in order to identify configuration bits which will need also state-restoring actions after a recovered SEU and which not. Furthermore, b) an alternative classification approach using fault injection is developed in order to compare both classification techniques. Moreover, c) we will propose a floorplanning approach for reducing the effective number of scrubbed frames and d), experimental results will give evidence that our optimization methodology not only allows to detect errors earlier but also to minimize the Mean-Time-To-Repair (MTTR) of a circuit considerably. In particular, we show that by using our approach, the MTTR for datapath-intensive circuits can be reduced by up to 48.5% in comparison to standard approaches

Statistical Reliability Estimation of Microprocessor-Based Systems

What is the probability that the execution state of a given microprocessor running a given application is correct, in a certain working environment with a given soft-error rate? Trying to answer this question using fault injection can be very expensive and time consuming. This paper proposes the baseline for a new methodology, based on microprocessor error probability profiling, that aims at estimating fault injection results without the need of a typical fault injection setup. The proposed methodology is based on two main ideas: a one-time fault-injection analysis of the microprocessor architecture to characterize the probability of successful execution of each of its instructions in presence of a soft-error, and a static and very fast analysis of the control and data flow of the target software application to compute its probability of success. The presented work goes beyond the dependability evaluation problem; it also has the potential to become the backbone for new tools able to help engineers to choose the best hardware and software architecture to structurally maximize the probability of a correct execution of the target softwar

ASSESSING AND IMPROVING THE RELIABILITY AND SECURITY OF CIRCUITS AFFECTED BY NATURAL AND INTENTIONAL FAULTS

The reliability and security vulnerability of modern electronic systems have emerged as concerns due to the increasing natural and intentional interferences. Radiation of high-energy charged particles generated from space environment or packaging materials on the substrate of integrated circuits results in natural faults. As the technology scales down, factors such as critical charge, voltage supply, and frequency change tremendously that increase the sensitivity of integrated circuits to natural faults even for systems operating at sea level. An attacker is able to simulate the impact of natural faults and compromise the circuit or cause denial of service. Therefore, instead of utilizing different approaches to counteract the effect of natural and intentional faults, a unified countermeasure is introduced. The unified countermeasure thwarts the impact of both reliability and security threats without paying the price of more area overhead, power consumption, and required time. This thesis first proposes a systematic analysis method to assess the probability of natural faults propagating the circuit and eventually being latched. The second part of this work focuses on the methods to thwart the impact of intentional faults in cryptosystems. We exploit a power-based side-channel analysis method to analyze the effect of the existing fault detection methods for natural faults on fault attack. Countermeasures for different security threats on cryptosystems are investigated separately. Furthermore, a new micro-architecture is proposed to thwart the combination of fault attacks and side-channel attacks, reducing the fault bypass rate and slowing down the key retrieval speed. The third contribution of this thesis is a unified countermeasure to thwart the impact of both natural faults and attacks. The unified countermeasure utilizes dynamically alternated multiple generator polynomials for the cyclic redundancy check (CRC) codec to resist the reverse engineering attack

Study of Single Event Transient Error Mitigation

Single Event Transient (SET) errors in ground-level electronic devices are a growing concern in the radiation hardening field. However, effective SET mitigation technologies which satisfy ground-level demands such as generic, flexible, efficient, and fast, are limited. The classic Triple Modular Redundancy (TMR) method is the most well-known and popular technique in space and nuclear environment. But it leads to more than 200% area and power overheads, which is too costly to implement in ground-level applications. Meanwhile, the coding technique is extensively utilized to inhibit upset errors in storage cells, but the irregularity of combinatorial logics limits its use in SET mitigation. Therefore, SET mitigation techniques suitable for ground-level applications need to be addressed. Aware of the demands for SET mitigation techniques in ground-level applications, this thesis proposes two novel approaches based on the redundant wire and approximate logic techniques. The Redundant Wire is a SET mitigation technique. By selectively adding redundant wire connections, the technique can prohibit targeted transient faults from propagating on the fly. This thesis proposes a set of signature-based evaluation equations to efficiently estimate the protecting effect provided by each redundant wire candidates. Based on the estimated results, a greedy algorithm is used to insert the best candidate repeatedly. Simulation results substantiate that the evaluation equations can achieve up to 98% accuracy on average. Regarding protecting effects, the technique can mask 18.4% of the faults with a 4.3% area, 4.4% power, and 5.4% delay overhead on average. Overall, the quality of protecting results obtained are 2.8 times better than the previous work. Additionally, the impact of synthesis constraints and signature length are discussed. Approximate Logic is a partial TMR technique offering a trade-off between fault coverage and area overheads. The approximate logic consists of an under-approximate logic and an over-approximate logic. The under-approximate logic is a subset of the original min-terms and the over-approximate logic is a subset of the original max-terms. This thesis proposes a new algorithm for generating the two approximate logics. Through the generating process, the algorithm considers the intrinsic failure probabilities of each gate and utilizes a confidence interval estimate equation to minimize required computations. The technique is applied to two fault models, Stuck-at and SET, and the separate results are compared and discussed. The results show that the technique can reduce the error 75% with an area penalty of 46% on some circuits. The delay overheads of this technique are always two additional layers of logic. The two proposed SET mitigation techniques are both applicable to generic combinatorial logics and with high flexibility. The simulation shows promising SET mitigation ability. The proposed mitigation techniques provide designers more choices in developing reliable combinatorial logic in ground-level applications

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

Fault-tolerant computer study

A set of building block circuits is described which can be used with commercially available microprocessors and memories to implement fault tolerant distributed computer systems. Each building block circuit is intended for VLSI implementation as a single chip. Several building blocks and associated processor and memory chips form a self checking computer module with self contained input output and interfaces to redundant communications buses. Fault tolerance is achieved by connecting self checking computer modules into a redundant network in which backup buses and computer modules are provided to circumvent failures. The requirements and design methodology which led to the definition of the building block circuits are discussed

Error Mitigation Using Approximate Logic Circuits: A Comparison of Probabilistic and Evolutionary Approaches

Technology scaling poses an increasing challenge to the reliability of digital circuits. Hardware redundancy solutions, such as triple modular redundancy (TMR), produce very high area overhead, so partial redundancy is often used to reduce the overheads. Approximate logic circuits provide a general framework for optimized mitigation of errors arising from a broad class of failure mechanisms, including transient, intermittent, and permanent failures. However, generating an optimal redundant logic circuit that is able to mask the faults with the highest probability while minimizing the area overheads is a challenging problem. In this study, we propose and compare two new approaches to generate approximate logic circuits to be used in a TMR schema. The probabilistic approach approximates a circuit in a greedy manner based on a probabilistic estimation of the error. The evolutionary approach can provide radically different solutions that are hard to reach by other methods. By combining these two approaches, the solution space can be explored in depth. Experimental results demonstrate that the evolutionary approach can produce better solutions, but the probabilistic approach is close. On the other hand, these approaches provide much better scalability than other existing partial redundancy techniques.This work was supported by the Ministry of Economy and Competitiveness of Spain under project ESP2015-68245-C4-1-P, and by the Czech science foundation project GA16-17538S and the Ministry of Education, Youth and Sports of the Czech Republic from the National Programme of Sustainability (NPU II); project IT4Innovations excellence in science - LQ1602

inSense: A Variation and Fault Tolerant Architecture for Nanoscale Devices

Transistor technology scaling has been the driving force in improving the size, speed, and power consumption of digital systems. As devices approach atomic size, however, their reliability and performance are increasingly compromised due to reduced noise margins, difficulties in fabrication, and emergent nano-scale phenomena. Scaled CMOS devices, in particular, suffer from process variations such as random dopant fluctuation (RDF) and line edge roughness (LER), transistor degradation mechanisms such as negative-bias temperature instability (NBTI) and hot-carrier injection (HCI), and increased sensitivity to single event upsets (SEUs). Consequently, future devices may exhibit reduced performance, diminished lifetimes, and poor reliability. This research proposes a variation and fault tolerant architecture, the inSense architecture, as a circuit-level solution to the problems induced by the aforementioned phenomena. The inSense architecture entails augmenting circuits with introspective and sensory capabilities which are able to dynamically detect and compensate for process variations, transistor degradation, and soft errors. This approach creates ``smart\u27\u27 circuits able to function despite the use of unreliable devices and is applicable to current CMOS technology as well as next-generation devices using new materials and structures. Furthermore, this work presents an automated prototype implementation of the inSense architecture targeted to CMOS devices and is evaluated via implementation in ISCAS \u2785 benchmark circuits. The automated prototype implementation is functionally verified and characterized: it is found that error detection capability (with error windows from $\approx$30-400ps) can be added for less than 2\% area overhead for circuits of non-trivial complexity. Single event transient (SET) detection capability (configurable with target set-points) is found to be functional, although it generally tracks the standard DMR implementation with respect to overheads

Single event upset hardened CMOS combinational logic and clock buffer design

A radiation strike on semiconductor device may lead to charge collection, which may manifest as a wrong logic level causing failure. Soft errors or Single Event Upsets (SEU) caused by radiation strikes are one of the main failure modes in a VLSI circuit. Previous work predicts that soft error rate may dominate the failure rate in VLSI circuit compared to all other failure modes put together. The issue of single event upsets (SEU) need to be addressed such that the failure rate of the chips dues to SEU is in the acceptable range. Memory circuits are designed to be error free with the help of error correction codes. Technology scaling is driving up the SEU rate of combinational logic and it is predicted that the soft error rate (SER) of combinational logic may dominate the SER of unpro-tected memory by the year 2011. Hence a robust combinational logic methodology must be designed for SEU hardening. Recent studies have also shown that clock distribution network is becoming increasingly vulnerable to radiation strike due to reduced capaci-tance at the clock leaf node. A strike on clock leaf node may propagate to many flip-flops increasing the system SER considerably. In this thesis we propose a novel method to improve the SER of the circuit by filtering single event upsets in the combinational logic and clock distribution network. Our ap-proach results in minimal circuit overhead and also requires minimal effort by the de-signer to implement the proposed method. In this thesis we focus on preventing the propagation of SEU rather than eliminating the SEU on each sensitive gate

Partial TMR in FPGAs Using Approximate Logic Circuits

TMR is a very effective technique to mitigate SEU effects in FPGAs, but it is often expensive in terms of FPGA resource utilization and power consumption. For certain applications, Partial TMR can be used to trade off the reliability with the cost of mitigation. In this work we propose a new approach to build Partial TMR circuits for FPGAs using approximate logic circuits. This approach is scalable, with a fine granularity, and can provide a flexible balance between reliability and overheads. The proposed approach has been validated by the results of fault injection experiments and proton irradiation campaigns.This work was supported in part by the Spanish Ministry of Economy and Competitiveness under contract ESP2015-68245-C4-1-P