Soft error modeling and remediation techniques in ASIC designs

Soft errors due to cosmic radiations are the main reliability threat during lifetime operation of digital systems. Fast and accurate estimation of soft error rate (SER) is essential in obtaining the reliability parameters of a digital system in order to balance reliability, performance, and cost of the system. Previous techniques for SER estimation are mainly based on fault injection and random simulations. In this paper, we present an analytical SER modeling technique for ASIC designs that can significantly reduce SER estimation time while achieving very high accuracy. This technique can be used for both combinational and sequential circuits. We also present an approach to obtain uncertainty bounds on estimated error propagation probability (EPP) values used in our SER modeling framework. Comparison of this method with the Monte-Carlo fault injection and simulation approach confirms the accuracy and speed-up of the presented technique for both the computed EPP values and uncertainty bounds.Based on our SER estimation framework, we also present efficient soft error hardening techniques based on selective gate resizing to maximize soft error suppression for the entire logic-level design while minimizing area and delay penalties. Experimental results confirm that these techniques are able to significantly reduce soft error rate with modest area and delay overhead.     

Designing robust threshold gates against soft errors

In applications where issues like power efficiency, high performance, and more noise tolerance are important, asynchronous design methodology can play a significant role. However, as a result of technology shrinkage, combinational asynchronous circuits have become vulnerable in presence of particle strikes. In this paper, we design robust quasi-delay insensitive (QDI) asynchronous circuits against soft errors. Null Convention Logic (NCL) gates used as one of the basic techniques in asynchronous circuits, are redesigned to increase their robustness against Single Event Upset (SEU). We analyze our design for various NCL structures and compare them with another design in Kuang et al. (2007) [4], and show that our proposed approach is more robust against SEU. The effect of some parameters such as power consumption, delay, and the influence of transistor sizing on soft error tolerance are discussed.     

Soft Error Mitigation Through Selective Addition of Functionally Redundant Wires

We introduce a logic-level soft error mitigation methodology for combinational circuits. The proposed method exploits the existence of logic implications in a design, and is based on selective addition of pertinent functionally redundant wires to the circuit. We demonstrate that the addition of functionally redundant wires reduces the probability that a single-event transient (SET) error will reach a primary output, and, by extension, the soft error rate (SER) of the circuit. We discuss three methods for identifying candidate functionally redundant wires, and we outline the necessary conditions for adding them to the circuit. We then present an algorithm that assesses the SET sensitization probability reduction achieved by candidate functionally redundant wires, and selects an appropriate subset that, when added to the design, minimizes its SER. Experimental results on ISCAS'89 benchmark circuits demonstrate that the proposed soft error mitigation methodology yields a significant SER reduction at the expense of commensurate hardware, power, and delay overhead.     

Low cost and highly reliable hardened latch design for nanoscale CMOS technology

With technology node shrinking, the susceptibility of a single chip to soft errors increases. Hence, the critical charge (Qcrit) of circuit decreases and this decrease is expected to continue with further technology scaling. In this paper previous hardened latch circuits are analyzed and it is found that previous designs offer limited protection against soft error especially for soft error caused by high energy particles and not all the nodes are under soft error protection. Therefore, in this paper we propose a low cost hardened latch design in 45 nm CMOS technology with full protection for all internal nodes as well as output node against soft error. Moreover, the proposed hardened approach is technology independent. Compared to previous hardened latch designs, the proposed design reduces cost in terms of power delay product (PDP) 59% on average.     

A practical metric for soft error vulnerability analysis of combinational circuits

Besides the advantages brought by technology scaling, soft errors have emerged as an important reliability challenge for nanoscale combinational circuits. Hence, it is important for vulnerability analysis of digital circuits due to soft errors to take advantage of practical metrics to achieve cost-effective and reliable designs. In this paper, a new metric called Triple Constraint Satisfaction probability (TCS) is proposed to evaluate the soft error vulnerability of combinational circuits. TCS is based on a concept called Probabilistic Vulnerability Window (PVW) which is an inference of the necessary conditions for soft-error occurrence in the circuit. We propose a computation model to calculate the PVW’s for all circuit gate outputs. In order to show the efficiency of the proposed metric, TCS is used in the vulnerability ranking of the circuit gates as the basic step of the vulnerability reduction techniques. The experimental results show that TCS provides a distribution of soft error vulnerability similar to that obtained with fault injections performed with HSPICE or with an event driven simulator while it is more than three orders of magnitude faster. Also, the results show that using the proposed metric in the well-known filter insertion technique achieves up to 19.4%, 34.1%, and 55% in soft error vulnerability reduction of benchmark circuits with the cost of increasing the area overhead by 5%, 10%, and 20%, respectively.     

Sequential Element Design With Built-In Soft Error Resilience

This paper presents a built-in soft error resilience (BISER) technique for correcting radiation-induced soft errors in latches and flip-flops. The presented error-correcting latch and flip-flop designs are power efficient, introduce minimal speed penalty, and employ reuse of on-chip scan design-for-testability and design-for-debug resources to minimize area overheads. Circuit simulations using a sub-90-nm technology show that the presented designs achieve more than a 20-fold reduction in cell-level soft error rate (SER). Fault injection experiments conducted on a microprocessor model further demonstrate that chip-level SER improvement is tunable by selective placement of the presented error-correcting designs. When coupled with error correction code to protect in-pipeline memories, the BISER flip-flop design improves chip-level SER by 10 times over an unprotected pipeline with the flip-flops contributing an extra 7-10.5% in power. When only soft errors in flips-flops are considered, the BISER technique improves chip-level SER by 10 times with an increased power of 10.3%. The error correction mechanism is configurable (i.e., can be turned on or off) which enables the use of the presented techniques for designs that can target multiple applications with a wide range of reliability requirements     

SET and noise fault tolerant circuit design techniques: Application to 7 nm FinFET

In the near future of high component density and low-power technologies, soft errors occurring not only in memory systems and latches but also in the combinational parts of logic circuits will seriously affect the reliable operation of integrated circuits. This paper presents a novel design style which reduces the impact of radiation-induced single event transients (SET) on logic circuits, and enhances the robustness in noisy environments. The independent design style of this method achieves SET mitigation and noise immunity by strengthening the sensitive nodes using a technique similar to feedback. A realization for this methodology is presented in 7 nm FinFET and in order to check the accuracy of our proposal, we compare it with others techniques for hardening radiation at the transistor level against a single event transient. Simulation results show that the proposed method has a good soft error tolerance capability as well as better noise immunity.     

Switch-level soft error emulation for SET-induced pulses of variable strengths

Due to the increased complexity of modern digital circuits, the use of simulation-based soft error detection methods has become cumbersome and very time-consuming. FPGA-based emulation provides an attractive alternative, as it can not only provide faster speed, but also handle highly complex circuits. In this work, a novel FPGA-based soft error detection technique is proposed, which enables detection of soft errors resulting from voltage pulses of different magnitudes induced by single-event transients (SETs). The paper analyzes the effect of transient injection location on soft error rate (SER) and applies the idea of transient equivalence to minimize resource overhead as well as speed-up emulation process. Switch-level implementations of ISCAS’85 benchmarks are designed using gate-level structures and experimental results are reported. The results show that an application of transient equivalence results in an emulation speed-up of 2.875 and reduces the memory utilization by 65%. An average soft error rate (SER) of 0.7-0.8 was achieved using the proposed strength-based detection with drain as transient injection location, showing that voltage pulses of magnitude smaller than logic threshold can eventually result in soft errors. Furthermore, the presented emulation-based soft error detection technique achieved significant speed-up of the order of 10⁶ compared to a customized simulation-based method.     

A Fast Statistical Soft Error Rate Estimation Method for Nano-scale Combinational Circuits

Nano-scale digital integrated circuits are getting increasingly vulnerable to soft errors due to aggressive technology scaling. On the other hand, the impacts of process variations on characteristics of the circuits in nano era make statistical approaches as an unavoidable option for soft error rate estimation procedure. In this paper, we present a novel statistical Soft Error Rate estimation framework. The vulnerability of the circuits to soft errors is analyzed using a newly defined concept called Statistical Vulnerability Window (SVW). SVW is an inference of the necessary conditions for a Single Event Transient (SET) to cause observable errors in the given circuit. The SER is calculated using a probabilistic formulation based on the parameters of SVWs. Experimental results show that the proposed method provides considerable speedup (about 5 orders of magnitude) with less than 5 % accuracy loss when compared to Monte-Carlo SPICE simulations. In addition, the proposed framework, keeps its efficiency when considering a full spectrum charge collections (more than 36X speedups compared to the most recently published similar work).     

Cosmic-ray soft error rate characterization of a standard 0.6-μmCMOS process

Cosmic-ray soft errors from ground level to aircraft flight altitudes are caused mainly by neutrons. We derived an empirical model for estimation of soft error rate (SER). Test circuits were fabricated in a standard 0.6-μm CMOS process. The neutron SER dependence on the critical charge and supply voltage was measured. Time constants of the noise current were extracted from the measurements and compared with device simulations in three dimensions. The empirical model was calibrated and verified by independent SER measurements. The model is capable of predicting cosmic-ray neutron SER of any circuit manufactured in the same process as the test circuits. We predicted SER of a static memory cell     

Soft error estimation and mitigation of digital circuits by characterizing input patterns of logic gates

Soft errors caused by particles strike in combinational parts of digital circuits are a major concern in the design of reliable circuits. Several techniques have been presented to protect combinational logic and reduce the overall circuit Soft Error Rate (SER). Such techniques, however, typically come at the cost of significant area and performance overheads. This paper presents a low area and zero-delay overhead method to protect digital circuits’ combinational parts against particles strike. This method is made up of a combination of two sub-methods: (1) a SER estimation method based on signal probability, called Estimation by Characterizing Input Patterns (ECIP) and (2) a protection method based on gate sizing, called Weighted and Timing Aware Gate Sizing (WTAGS). Unlike the previous techniques that either overlook internal nodes signal probability or exploit fault injection, ECIP computes the sensitivity of each gate by analytical calculations of both the probability of transient pulse generation and the probability of transient pulse propagation; these calculations are based on signal probability of the whole circuit nodes which make ECIP much more accurate as well as practical for large circuits. Using the results of ECIP, WTAGS characterizes the most sensitive gates to efficiently allocate the redundancy budget. The simulation results show the SER reduction of about 40% by applying the proposed method to ISCAS’89 benchmark circuits while imposing no delay overhead and 5% area overhead.     

A cross-layer SER analysis in the presence of PVTA variations

As the technology scaling enters into the nanoscale regime, soft errors become one of the major challenging issues for VLSI chips. Susceptibility to soft error is even becoming more severe in the presence of workload-dependent Process, Voltage, Temperature, and Transistor Aging (PVTA) variations. In this paper, we propose a systematic cross-layer methodology to model and analyze the impact of different abstraction layers on the PVTA variations and in turn on the susceptibility of processors to soft error. To do so, the workload is divided into several fine-grained timing windows. Based on a top-down profiling approach, the effects of each window is projected into the circuit-level model of the processor in order to extract PVTA profiles of “each cell” in the circuit. Finally, at circuit-level, an “instance-based” simulation flow is exploited to capture both spatial and temporal PVTA-aware Soft Error Rate (SER) variations within/across applications for every functional block of the processor. The simulation results for various ITC’99 benchmark circuits and the LEON3 processor running different benchmark applications show that disregarding PVTA information results in significant error in the estimated SER.     

Efficient algorithms to accurately compute derating factors of digital circuits

Fast, accurate, and detailed Soft Error Rate (SER) estimation of digital circuits is essential for cost-efficient reliable design. A major step to accurately estimate a circuit SER is the computation of failure probability, which requires the computation of three derating factors, namely logical, electrical, and timing derating. The unified treatment of these derating factors is crucial to obtain accurate failure probability. Existing SER estimation techniques are either unscalable to large circuits or inaccurate due to lack of unified treatment of all derating factors. In this paper, we present fast and efficient algorithms to estimate SERs of circuit components in the presence of single event transients by unified computation of all derating factors. The proposed algorithms, based on propagation of error probabilities and shape of erroneous waveforms, are scalable to very large circuits. The experimental results and comparisons with Statistical Fault Injections (SFIs) using Monte-Carlo simulations confirm the accuracy (only 2% difference) and speedup (5–6 orders of magnitudes) of the proposed technique.     

Cross-layer custom instruction selection to address PVTA variations and soft error

•Process, Voltage, Temperature, and Aging (PVTA) variations introduce remarkable timing unpredictability to Custom Instructions (CIs) manufactured at nanoscale technology node. Moreover, shrinking the feature size to nanometer scales makes soft error another critical issue of CIs. To address these concerns, we propose a cross-layer CI selection methodology as a helping rein in the reliability decrease due to the combined effects of PVTA variations and soft error. According to this approach, in a top-down fashion, the information obtained at application and architecture levels is projected into device and circuit levels in order to accurately assess Soft Error Rate (SER) and the effects of the PVTA variations on the lifetimes and delays of CIs. Next, based on a bottom-up approach, timing information and SER of the underlying hardwares are captured at application-level CI selection merit functions. Experiments illustrate that our proposed cross-layer reliability-aware CI selection techniques extend the lifetime of the system up to 6.2 ×, while, SER is decreased by 2.5 × on average.     

Minimizing detection-to-boosting latency toward low-power error-resilient circuits

Dynamic voltage scaling (DVS) has become one of the most effective approaches to achieve ultra-low-power SoC. To eliminate timing errors arising from DVS, several error-resilient circuit design techniques were proposed to detect and/or correct timing violations. The most recently proposed time-borrowing-and-local-boosting (TBLB) technique has the advantage of lower power consumption and less performance degradation due to the needlessness of pipeline stalls. On the other hand, to make the best use of the TBLB technique, the latency from error detection to voltage boosting for TBLB latches must be carefully considered, especially during physical design. To address this issue, this paper first introduces the behavior of TBLB circuits, and then presents two major design styles of TBLB latches, including TBLB macros and multi-bit TBLB latches, for reducing detection-to-boosting latency. The corresponding physical synthesis methodologies for both design styles are further proposed. Experimental results based on the IWLS benchmarks show that the proposed physical synthesis approach for resilient circuits with multi-bit TBLB latches is very effective in reducing the delay of both combinational and error-detection circuits, which indicates better circuit reliability. To our best knowledge, this is the first work in the literature which introduces the physical synthesis methodologies for TBLB resilient circuits.     

Analyzing Vulnerability of Asynchronous Pipeline to Soft Errors: Leveraging Formal Verification

Glitches due to the secondary neutron particles from cosmic rays cause soft errors in integrated circuits (IC) that are becoming a major threat in modern sub 45nm ICs. Therefore, researchers have developed many techniques to mitigate the soft errors and some of them utilize the built in error detection schemes of low-power asynchronous null conventional logic (NCL). However, it requires extensive simulations and emulations for careful and complete analysis of the design, which can be costly, time consuming and cannot encompass all the possible input conditions. In this paper, we propose a framework to improve the soft error tolerant asynchronous pipelines by identifying and formally analyzing the vulnerable paths using the nuXmv model checker. The proposed framework translates the design behavior and specification into a state-space model and the potential vulnerabilities against soft errors in the pipeline as linear temporal logical (LTL) properties. These formally specified properties are then verified on the state-space model and in case of failure counterexamples are obtained. These counterexamples can then be further analyzed to obtain the soft error propagation paths and thus give insights about soft error tolerant approaches to the designers. For illustration, this work provides an analysis and comparison of three state-of-the-art asynchronous pipelines. Formal model and analysis of all the pipelines show that the soft error hardened pipeline is comparatively superior against soft errors but at the expense of almost two times area overhead.     

An on-chip ECC circuit for correcting soft errors in DRAMs withtrench capacitors

A modified error-correcting code that can correct up to two soft errors on each row (word line) in a dynamic random-access memory (DRAM) chip is proposed. Double-bit soft errors frequently occur in DRAM cells with trench capacitors, when charged alpha particles impinge on the intervening space between two vertical capacitors causing plasma shorts between them. The conventional on-chip error-correcting codes (ECCs) cannot correct such double-bit word-line soft errors, which significantly increase the uncorrectable error rate (UER). An ECC circuit that uses an augmented rectangular product code to detect and correct double-bit soft errors is presented. The proposed circuit automatically corrects the addressed bit if it is faulty, and then quickly locates the other faulty bit. A comprehensive study is made to estimate improvements in soft error rate (SER) and mean time to failure (MTTF). The ability of the circuit to correct soft errors in the presence of multiple-bit errors has also been analyzed by combinatorial enumeration     

A fast,flexible, and easy-to-develop FPGA-based fault injection technique

By technology down scaling in nowadays digital circuits, their sensitivity to radiation effects increases, making the occurrence of soft errors more probable. As a consequence, soft error rate estimation of complex circuits such as processors is becoming an important issue in safety- and mission-critical applications. Fault injection is a well-known and widely used approach for soft error rate estimation. Development of previous FPGA-based fault injection techniques is very time consuming mainly because they do not adequately exploit supplementary FPGA tools. This paper proposes an easy-to-develop and flexible FPGA-based fault injection technique. This technique utilizes debugging facilities of Altera FPGAs in order to inject single event upset (SEU) and multiple bit upset (MBU) fault models in both flip-flops and memory units. As this technique uses FPGA built-in facilities, it imposes negligible performance and area overheads on the system. The experimental results show that the proposed technique is on average four orders of magnitude faster than a pure simulation-based fault injection. These features make the proposed technique applicable to industrial-scale circuits.     

Effective Timing Error Tolerance in Flip-Flop Based Core Designs

Timing errors turn to be a great concern in nanometer technology integrated circuits. This work presents a low-cost and power efficient, multiple timing error detection and correction technique for flip-flop based core designs. Two new flip-flop designs are introduced, which exploit a transition detector for timing error detection along with asynchronous local error correction schemes to provide timing error tolerance. The proposed, the Razor and the Time Dilation techniques were applied separately in the design of three versions of a 32-bit MIPS microprocessor core and the pci_bridge32 IWLS05 core, using a 90 nm CMOS technology. Comparisons based on simulation results validate the efficiency of the new design approach.