MANAGING AND LEVERAGING VARIATIONS AND NOISE IN NANOMETER CMOS

Advanced CMOS technologies have enabled high density designs at the cost of complex fabrication process. Variation in oxide thickness and Random Dopant Fluctuation (RDF) lead to variation in transistor threshold voltage Vth. Current photo-lithography process used for printing decreasing critical dimensions result in variation in transistor channel length and width. A related challenge in nanometer CMOS is that of on-chip random noise. With decreasing threshold voltage and operating voltage; and increasing operating temperature, CMOS devices are more sensitive to random on-chip noise in advanced technologies. In this thesis, we explore novel circuit techniques to manage the impact of process variation in nanometer CMOS technologies. We also analyze the impact of on-chip noise on CMOS circuits and propose techniques to leverage or manage impact of noise based on the application. True Random Number Generator (TRNG) is an interesting cryptographic primitive that leverages on-chip noise to generate random bits; however, it is highly sensitive to process variation. We explore novel metastability circuits to alleviate the impact of variations and at the same time leverage on-chip noise sources like Random Thermal Noise and Random Telegraph Noise (RTN) to generate high quality random bits. We develop stochastic models for metastability based TRNG circuits to analyze the impact of variation and noise. The stochastic models are used to analyze and compare low power, energy efficient and lightweight post-processing techniques targeted to low power applications like System on Chip (SoC) and RFID. We also propose variation aware circuit calibration techniques to increase reliability. We extended this technique to a more generic application of designing Post-Si Tunable (PST) clock buffers to increase parametric yield in the presence of process variation. Apart from one time variation due to fabrication process, transistors undergo constant change in threshold voltage due to aging/wear-out effects and RTN. Process variation affects conventional sensors and introduces inaccuracies during measurement. We present a lightweight wear-out sensor that is tolerant to process variation and provides a fine grained wear-out sensing. A similar circuit is designed to sense fluctuation in transistor threshold voltage due to RTN. Although thermal noise and RTN are leveraged in applications like TRNG, they affect the stability of sensitive circuits like Static Random Access Memory (SRAM). We analyze the impact of on-chip noise on Bit Error Rate (BER) and post-Si test coverage of SRAM cells

Unreliable Silicon: Circuit through System-Level Techniques for Mitigating the Adverse Effects of Process Variation, Device Degradation and Environmental Conditions.

Designing and manufacturing integrated circuits in advanced, highly-scaled processing technologies that meet stringent specification sets is an increasingly unreliable proposition. Dimensional processing variations, time and stress dependent device degradation and potentially varying environmental conditions exacerbate deviations in performance, power and even functionality of integrated circuits. This work explores a system-level adaptive design philosophy intended to mitigate the power and performance impact of unreliable silicon devices and presents enabling circuits for SRAM variation mitigation and in-situ measurement of device degradation in 130nm and 45nm processing technologies. An adaptation of RAZOR-based DVS designed for on-chip memory power reduction and reliability lifetime improvement enables the elimination of 250 mV of voltage margin in a 1.8V design, with up to 500 mV of reduction when allowing 5% of memory operations to use multiple cycles. A novel PID-controlled dynamic reliability management (DRM) system is presented, allowing user-specified circuit lifetime to be dynamically managed via dynamic voltage and frequency scaling. Peak performance improvement of 20-35% is achievable in typical processing systems by allowing brief periods of elevated voltage operation through the real-time DRM system, while minimizing voltage during non-critical periods of operation to maximize circuit lifetime. A probabilistic analysis of oxide breakdown using the percolation model indicates the need for 1000-2000 integrated in-situ sensors to achieve oxide lifetime prediction error at or under 10%. The conclusions from the oxide analysis are used to guide the design of a series of novel on-chip reliability monitoring circuits for use in a real-time DRM system. A 130nm in-situ oxide breakdown measurement sensor presented is the first published design of an oxide-breakdown oriented circuit and is compatible with standard-cell style automatic “place and route” design styles used in the majority of application specific integrated circuit designs. Measured results show increases in gate oxide leakage of 14-35% after accelerated stress testing. A second generation design of the on-chip oxide degradation sensor is presented that reduces stress mode power consumption by 111,785X over the initial design while providing an ideal 1:1 mapping of gate leakage to output frequency in extracted simulations.Ph.D.Electrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/60701/1/ekarl_1.pd

Circuit Techniques for Low-Power and Secure Internet-of-Things Systems

The coming of Internet of Things (IoT) is expected to connect the physical world to the cyber world through ubiquitous sensors, actuators and computers. The nature of these applications demand long battery life and strong data security. To connect billions of things in the world, the hardware platform for IoT systems must be optimized towards low power consumption, high energy efficiency and low cost. With these constraints, the security of IoT systems become a even more difficult problem compared to that of computer systems. A new holistic system design considering both hardware and software implementations is demanded to face these new challenges. In this work, highly robust and low-cost true random number generators (TRNGs) and physically unclonable functions (PUFs) are designed and implemented as security primitives for secret key management in IoT systems. They provide three critical functions for crypto systems including runtime secret key generation, secure key storage and lightweight device authentication. To achieve robustness and simplicity, the concept of frequency collapse in multi-mode oscillator is proposed, which can effectively amplify the desired random variable in CMOS devices (i.e. process variation or noise) and provide a runtime monitor of the output quality. A TRNG with self-tuning loop to achieve robust operation across -40 to 120 degree Celsius and 0.6 to 1V variations, a TRNG that can be fully synthesized with only standard cells and commercial placement and routing tools, and a PUF with runtime filtering to achieve robust authentication, are designed based upon this concept and verified in several CMOS technology nodes. In addition, a 2-transistor sub-threshold amplifier based "weak" PUF is also presented for chip identification and key storage. This PUF achieves state-of-the-art 1.65% native unstable bit, 1.5fJ per bit energy efficiency, and 3.16% flipping bits across -40 to 120 degree Celsius range at the same time, while occupying only 553 feature size square area in 180nm CMOS. Secondly, the potential security threats of hardware Trojan is investigated and a new Trojan attack using analog behavior of digital processors is proposed as the first stealthy and controllable fabrication-time hardware attack. Hardware Trojan is an emerging concern about globalization of semiconductor supply chain, which can result in catastrophic attacks that are extremely difficult to find and protect against. Hardware Trojans proposed in previous works are based on either design-time code injection to hardware description language or fabrication-time modification of processing steps. There have been defenses developed for both types of attacks. A third type of attack that combines the benefits of logical stealthy and controllability in design-time attacks and physical "invisibility" is proposed in this work that crosses the analog and digital domains. The attack eludes activation by a diverse set of benchmarks and evades known defenses. Lastly, in addition to security-related circuits, physical sensors are also studied as fundamental building blocks of IoT systems in this work. Temperature sensing is one of the most desired functions for a wide range of IoT applications. A sub-threshold oscillator based digital temperature sensor utilizing the exponential temperature dependence of sub-threshold current is proposed and implemented. In 180nm CMOS, it achieves 0.22/0.19K inaccuracy and 73mK noise-limited resolution with only 8865 square micrometer additional area and 75nW extra power consumption to an existing IoT system.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/138779/1/kaiyuan_1.pd

Study of Single-Event Transient Effects on Analog Circuits

Radiation in space is potentially hazardous to microelectronic circuits and systems such as spacecraft electronics. Transient effects on circuits and systems from high energetic particles can interrupt electronics operation or crash the systems. This phenomenon is particularly serious in complementary metal-oxide-semiconductor (CMOS) integrated circuits (ICs) since most of modern ICs are implemented with CMOS technologies. The problem is getting worse with the technology scaling down. Radiation-hardening-by-design (RHBD) is a popular method to build CMOS devices and systems meeting performance criteria in radiation environment. Single-event transient (SET) effects in digital circuits have been studied extensively in the radiation effect community. In recent years analog RHBD has been received increasing attention since analog circuits start showing the vulnerability to the SETs due to the dramatic process scaling. Analog RHBD is still in the research stage. This study is to further study the effects of SET on analog CMOS circuits and introduces cost-effective RHBD approaches to mitigate these effects. The analog circuits concerned in this study include operational amplifiers (op amps), comparators, voltage-controlled oscillators (VCOs), and phase-locked loops (PLLs). Op amp is used to study SET effects on signal amplitude while the comparator, the VCO, and the PLL are used to study SET effects on signal state during transition time. In this work, approaches based on multi-level from transistor, circuit, to system are presented to mitigate the SET effects on the aforementioned circuits. Specifically, RHBD approach based on the circuit level, such as the op amp, adapts the auto-zeroing cancellation technique. The RHBD comparator implemented with dual-well and triple-well is studied and compared at the transistor level. SET effects are mitigated in a LC-tank oscillator by inserting a decoupling resistor. The RHBD PLL is implemented on the system level using triple modular redundancy (TMR) approach. It demonstrates that RHBD at multi-level can be cost-effective to mitigate the SEEs in analog circuits. In addition, SETs detection approaches are provided in this dissertation so that various mitigation approaches can be implemented more effectively. Performances and effectiveness of the proposed RHBD are validated through SPICE simulations on the schematic and pulsed-laser experiments on the fabricated circuits. The proposed and tested RHBD techniques can be applied to other relevant analog circuits in the industry to achieve radiation-tolerance

Characterization of process variability and robust optimization of analog circuits

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.Includes bibliographical references (p. 161-174).Continuous scaling of CMOS technology has enabled dramatic performance enhancement of CMOS devices and has provided speed, power, and density improvement in both digital and analog circuits. CMOS millimeter-wave applications operating at more than 50GHz frequencies has become viable in sub-100nm CMOS technologies, providing advantages in cost and high density integration compared to other heterogeneous technologies such as SiGe and III-V compound semiconductors. However, as the operating frequency of CMOS circuits increases, it becomes more difficult to obtain sufficiently wide operating ranges for robust operation in essential analog building blocks such as voltage-controlled oscillators (VCOs) and frequency dividers. The fluctuations of circuit parameters caused by the random and systematic variations in key manufacturing steps become more significant in nano-scale technologies. The process variation of circuit performance is quickly becoming one of the main concerns in high performance analog design. In this thesis, we show design and analysis of a VCO and frequency divider operating beyond 70GHz in a 65nm SOI CMOS technology. The VCO and frequency divider employ design techniques enlarging frequency operating ranges to improve the robustness of circuit operation. Circuit performance is measured from a number of die samples to identify the statistical properties of performance variation. A back-propagation of variation (BPV) scheme based on sensitivity analysis of circuit performance is proposed to extract critical circuit parameter variation using statistical measurement results of the frequency divider. We analyze functional failure caused by performance variability, and propose dynamic and static optimization methods to improve parametric yield. An external bias control is utilized to dynamically tune the divider operating range and to compensate for performance variation. A novel time delay model of a differential CML buffer is proposed to functionally approximate the maximum operating frequency of the frequency divider, which dramatically reduces computational cost of parametric yield estimation. The functional approximation enables the optimization of the VCO and frequency divider parametric yield with a reasonable amount of simulation time.by Daihyun Lim.Ph.D

Phase Noise Analyses and Measurements in the Hybrid Memristor-CMOS Phase-Locked Loop Design and Devices Beyond Bulk CMOS

Phase-locked loop (PLLs) has been widely used in analog or mixed-signal integrated circuits. Since there is an increasing market for low noise and high speed devices, PLLs are being employed in communications. In this dissertation, we investigated phase noise, tuning range, jitter, and power performances in different architectures of PLL designs. More energy efficient devices such as memristor, graphene, transition metal di-chalcogenide (TMDC) materials and their respective transistors are introduced in the design phase-locked loop. Subsequently, we modeled phase noise of a CMOS phase-locked loop from the superposition of noises from its building blocks which comprises of a voltage-controlled oscillator, loop filter, frequency divider, phase-frequency detector, and the auxiliary input reference clock. Similarly, a linear time-invariant model that has additive noise sources in frequency domain is used to analyze the phase noise. The modeled phase noise results are further compared with the corresponding phase-locked loop designs in different n-well CMOS processes. With the scaling of CMOS technology and the increase of the electrical field, the problem of short channel effects (SCE) has become dominant, which causes decay in subthreshold slope (SS) and positive and negative shifts in the threshold voltages of nMOS and pMOS transistors, respectively. Various devices are proposed to continue extending Moore\u27s law and the roadmap in semiconductor industry. We employed tunnel field effect transistor owing to its better performance in terms of SS, leakage current, power consumption etc. Applying an appropriate bias voltage to the gate-source region of TFET causes the valence band to align with the conduction band and injecting the charge carriers. Similarly, under reverse bias, the two bands are misaligned and there is no injection of carriers. We implemented graphene TFET and MoS2 in PLL design and the results show improvements in phase noise, jitter, tuning range, and frequency of operation. In addition, the power consumption is greatly reduced due to the low supply voltage of tunnel field effect transistor

Low power predictable memory and processing architectures

Great demand in power optimized devices shows promising economic potential and draws lots of attention in industry and research area. Due to the continuously shrinking CMOS process, not only dynamic power but also static power has emerged as a big concern in power reduction. Other than power optimization, average-case power estimation is quite significant for power budget allocation but also challenging in terms of time and effort. In this thesis, we will introduce a methodology to support modular quantitative analysis in order to estimate average power of circuits, on the basis of two concepts named Random Bag Preserving and Linear Compositionality. It can shorten simulation time and sustain high accuracy, resulting in increasing the feasibility of power estimation of big systems. For power saving, firstly, we take advantages of the low power characteristic of adiabatic logic and asynchronous logic to achieve ultra-low dynamic and static power. We will propose two memory cells, which could run in adiabatic and non-adiabatic mode. About 90% dynamic power can be saved in adiabatic mode when compared to other up-to-date designs. About 90% leakage power is saved. Secondly, a novel logic, named Asynchronous Charge Sharing Logic (ACSL), will be introduced. The realization of completion detection is simplified considerably. Not just the power reduction improvement, ACSL brings another promising feature in average power estimation called data-independency where this characteristic would make power estimation effortless and be meaningful for modular quantitative average case analysis. Finally, a new asynchronous Arithmetic Logic Unit (ALU) with a ripple carry adder implemented using the logically reversible/bidirectional characteristic exhibiting ultra-low power dissipation with sub-threshold region operating point will be presented. The proposed adder is able to operate multi-functionally

In-situ and In-field temperature and transistor BTI sensing techniques with microprocessor level implementation

In modern deep-scaled CMOS technologies, various silicon-related pitfalls present challenges to the long-term performance of microprocessors. Such challenges include (1) local hot spots, which breach the thermal limitations of a microprocessor, and (2) transistor aging, especially NBTI, which degrades transistor threshold voltage, ultimately threatening the reliability of the entire memory block. In previous systems, the dummy circuit was placed next to the subject, where the dummy was frequently analyzed, and the readout was used to infer the condition of the target. Due to rapidly changing ambient conditions (e.g., temperature and voltage) and the potential scale of the target dimensions, such metrics may not accurately represent the condition of the target. Moreover, such temperature sensors and canary circuits occupy a significant area. Therefore, it would be highly preferable to monitor the target circuit in-situ, i.e., to sense the precise transistor at operation. It is also important to achieve an accurate sensing metric. When the temperature is analyzed, the readout should account for voltage and process variations. While sensing the aging degradation, the readout should account for voltage and temperature fluctuations. This would allow testing during in-field operation, while the circuits achieve area-efficiency. This research had two stages. One result of the first stage was a silicon test chip that was a compact temperature sensor. It involved a family of PTAT+CTAT sensor front-ends that unitized only 6 to 8 conventional CMOS logic devices, yielding a smaller sized chip. The sensor demonstrates accuracy within the target and achieves a 14.3x smaller foot print than preceding published designs. The second product of the first stage was a PMOS aging sensor used in 6T SRAM circuits. The test chip has a real SRAM array, integrated with the proposed PMOS NBTI sensor. It can sense real PMOS NBTI effects in any bit cell (in-situ) and provide robust readings of temperature and voltage (in-field). Intensive aging tests validated the proposed sensing technique. The second stage was focused on implementing the in-situ and in-field sensing techniques in a real processor. The MIPS microprocessor had a modified instruction cache (I$) and instruction set architecture. With the addition of new instruction aging sensing and minor modification of the circuits, the processor can execute aging sensing opportunistically to evaluate the aging level of its instruction cache. A software framework was developed and verified to estimate the retention voltage of the instruction cache over the lifetime of the chip. An area-efficient SoC was developed that could transform the instruction cache into an ambient temperature sensor. It had a physically unclonable function (PUF), and it was built with an area-saving technique similar to the earlier work. This thesis has four chapters. They are presented in chronological and they are aligned with the research described above

The Design, Fabrication and Characterization of Independent-Gate FinFETs

The Independent-Gate FinFET is introduced as a novel device structure that combines several innovative aspects of the FinFET and planar double-gate FETs. The IG-FinFET addresses the concerns of scaled CMOS at extremely short channel lengths, by offering the superior short channel control of the double-gate architecture. The IG-FinFET allows for the unique behavioral characteristics of an independent-gate, four-terminal FET. This capability has been demonstrated in planar double-gate architectures, but is intrinsically prohibited by nominal FinFET integration schemes. Finally, the IG-FinFET allows for conventional CMOS manufacturing techniques to be used by leveraging many of the FinFET integration concepts. By introducing relatively few deviations from a standard FinFET fabrication process, the IG-FinFET integration offers the capability of combining three-terminal FinFET devices with four-terminal IG-FinFET devices in one powerful technology for SoC or Analog/RF application, to name only a few. The IG-FinFET device is examined by device modeling, circuit simulation, testsite design, fabrication and electrical characterization. The results of two-dimensional device simulations are presented, and the effects of process variations are discussed in order to understand the desire for a fully self-aligned double-gate architecture. Circuit design is investigated to demonstrate the capabilities of such a double-gate device. Physical designs are also examined, and the layout penalties of implementing such a device are discussed in order to understand the requirement of double-gate and independent-gate integration. A test vehicle is designed and presented for the structural integration and fabrication process development necessary for the demonstration and validation of this novel device architecture. The processing and results of several fabrication experiments are presented, with physical and electrical analysis. The integration changes and process modifications suggested by this analysis are discussed and analyzed. Fabricated devices are then electrically and physically characterized. The final set of fabricated devices show excellent agreement with simulated devices, and experimental verification of double-gate device theory. The results of this work provide for a new and novel device architecture with wide ranging technology application, as well as a new fabrication platform with which to study double-gate device theory and further technology integration

ENERGY-EFFICIENT FEATURE EXTRACTION ENGINE AND SECURE CHIP IDENTIFICATION FOR UBIQUITOUS SURVEILLANCE

Ph.DDOCTOR OF PHILOSOPH