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

In-Circuit Mitigation Approach of Single Event Transients for 45nm Flip-Flops

Nowadays, radiation-induced Single Event Transients are a leading cause of critical errors in CMOS nanometric integrated circuits. In this work, we propose a workflow for analyzing and mitigating nanometric CMOS integrated circuits to radiation-induced transient errors. The analysis phase starts with the developed Rad-Ray tool for mimicking the passage of the radiation particles through the silicon matter of the cells to identify the features of the generated transient pulses. The tool is integrated with an electrical simulator to evaluate the dynamic behavior of the transient pulses inserted and propagated in the circuit. A tunable mitigation solution is proposed by inserting the filtering block before the storage element, tuned based on the duration and amplitude of the expected transient pulse, identified in the analysis phase. Experimental results are achieved by applying the proposed approach on the 45 nm Flip-Flop component available in the FreePDK design kit, comparing the Dynamic Error Rate for the original Flip-Flop and the mitigated one which shows a reduction of sensitivity up to 56% with respect of the original version, with negligible degradation of performances

Digital Design Techniques for Dependable High Performance Computing

As today’s process technologies continuously scale down, circuits become increasingly more vulnerable to radiation-induced soft errors in nanoscale VLSI technologies. The reduction of node capacitance and supply voltages coupled with increasingly denser chips are raising soft error rates and making them an important design issue. This research work is focused on the development of design techniques for high-reliability modern VLSI technologies, focusing mainly on Radiation-induced Single Event Transient. In this work, we evaluate the complete life-cycle of the SET pulse from the generation to the mitigation. A new simulation tool, Rad-Ray, has been developed to simulate and model the passage of heavy ion into the silicon matter of modern Integrated Circuit and predict the transient voltage pulse taking into account the physical description of the design. An analysis and mitigation tool has been developed to evaluate the propagation of the predicted SET pulses within the circuit and apply a selective mitigation technique to the sensitive nodes of the circuit. The analysis and mitigation tools have been applied to many industrial projects as well as the EUCLID space mission project, including more than ten modules. The obtained results demonstrated the effectiveness of the proposed tools

Stochastic Computing with Integrated Optics

Stochastic computing (SC) allows reducing hardware complexity and improving energy efficiency of error resilient applications. However, a main limitation of the computing paradigm is the low throughput induced by the intrinsic serial computing of bit-streams. In this paper, we address the implementation of SC in the optical domain, with the aim to improve the computation speed. We implement a generic optical architecture allowing the execution of polynomial functions. We propose design methods to explore the design space in order to optimize key metrics such as circuit robustness and power consumption. We show that a circuit implementing a 2 nd order polynomial degree function and operating at 1Ghz leads to 20.1pJ laser consumption per computed bit

Digital design techniques for dependable High-Performance Computing

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Mechanistic modeling of architectural vulnerability factor

Reliability to soft errors is a significant design challenge in modern microprocessors owing to an exponential increase in the number of transistors on chip and the reduction in operating voltages with each process generation. Architectural Vulnerability Factor (AVF) modeling using microarchitectural simulators enables architects to make informed performance, power, and reliability tradeoffs. However, such simulators are time-consuming and do not reveal the microarchitectural mechanisms that influence AVF. In this article, we present an accurate first-order mechanistic analytical model to compute AVF, developed using the first principles of an out-of-order superscalar execution. This model provides insight into the fundamental interactions between the workload and microarchitecture that together influence AVF. We use the model to perform design space exploration, parametric sweeps, and workload characterization for AVF

Advances in Solid State Circuit Technologies

This book brings together contributions from experts in the fields to describe the current status of important topics in solid-state circuit technologies. It consists of 20 chapters which are grouped under the following categories: general information, circuits and devices, materials, and characterization techniques. These chapters have been written by renowned experts in the respective fields making this book valuable to the integrated circuits and materials science communities. It is intended for a diverse readership including electrical engineers and material scientists in the industry and academic institutions. Readers will be able to familiarize themselves with the latest technologies in the various fields

Cross-Layer Optimization for Power-Efficient and Robust Digital Circuits and Systems

With the increasing digital services demand, performance and power-efficiency become vital requirements for digital circuits and systems. However, the enabling CMOS technology scaling has been facing significant challenges of device uncertainties, such as process, voltage, and temperature variations. To ensure system reliability, worst-case corner assumptions are usually made in each design level. However, the over-pessimistic worst-case margin leads to unnecessary power waste and performance loss as high as 2.2x. Since optimizations are traditionally confined to each specific level, those safe margins can hardly be properly exploited. To tackle the challenge, it is therefore advised in this Ph.D. thesis to perform a cross-layer optimization for digital signal processing circuits and systems, to achieve a global balance of power consumption and output quality. To conclude, the traditional over-pessimistic worst-case approach leads to huge power waste. In contrast, the adaptive voltage scaling approach saves power (25% for the CORDIC application) by providing a just-needed supply voltage. The power saving is maximized (46% for CORDIC) when a more aggressive voltage over-scaling scheme is applied. These sparsely occurred circuit errors produced by aggressive voltage over-scaling are mitigated by higher level error resilient designs. For functions like FFT and CORDIC, smart error mitigation schemes were proposed to enhance reliability (soft-errors and timing-errors, respectively). Applications like Massive MIMO systems are robust against lower level errors, thanks to the intrinsically redundant antennas. This property makes it applicable to embrace digital hardware that trades quality for power savings.Comment: 190 page

Mars Spacecraft Power System Development Final Report

Development of optimum Mariner spacecraft power system for application to future flyby and orbiter mission