Time-Domain/Digital Frequency Synchronized Hysteresis Based Fully Integrated Voltage Regulator

abstract: Power management integrated circuit (PMIC) design is a key module in almost all electronics around us such as Phones, Tablets, Computers, Laptop, Electric vehicles, etc. The on-chip loads such as microprocessors cores, memories, Analog/RF, etc. requires multiple supply voltage domains. Providing these supply voltages from off-chip voltage regulators will increase the overall system cost and limits the performance due to the board and package parasitics. Therefore, an on-chip fully integrated voltage regulator (FIVR) is required. The dissertation presents a topology for a fully integrated power stage in a DC-DC buck converter achieving a high-power density and a time-domain hysteresis based highly integrated buck converter. A multi-phase time-domain comparator is proposed in this work for implementing the hysteresis control, thereby achieving a process scaling friendly highly digital design. A higher-order LC notch filter along with a flying capacitor which couples the input and output voltage ripple is implemented. The power stage operates at 500 MHz and can deliver a maximum power of 1.0 W and load current of 1.67 A, while occupying 1.21 mm2 active die area. Thus achieving a power density of 0.867 W/mm2 and current density of 1.377 A/mm2. The peak efficiency obtained is 71% at 780 mA of load current. The power stage with the additional off-chip LC is utilized to design a highly integrated current mode hysteretic buck converter operating at 180 MHz. It achieves 20 ns of settling and 2-5 ns of rise/fall time for reference tracking. The second part of the dissertation discusses an integrated low voltage switched-capacitor based power sensor, to measure the output power of a DC-DC boost converter. This approach results in a lower complexity, area, power consumption, and a lower component count for the overall PV MPPT system. Designed in a 180 nm CMOS process, the circuit can operate with a supply voltage of 1.8 V. It achieves a power sense accuracy of 7.6%, occupies a die area of 0.0519 mm2, and consumes 0.748 mW of power.Dissertation/ThesisDoctoral Dissertation Electrical Engineering 201

On-chip Voltage Regulator– Circuit Design and Automation

Title from PDF of title page viewed May 24, 2021Dissertation advisors: Masud H Chowdhury and Yugyung LeeVitaIncludes bibliographical references (page 106-121)Thesis (Ph.D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2021With the increase of density and complexity of high-performance integrated circuits and systems, including many-core chips and system-on-chip (SoC), it is becoming difficult to meet the power delivery and regulation requirements with off-chip regulators. The off-chip regulators become a less attractive choice because of the higher overheads and complexity imposed by the additional wires, pins, and pads. The increased I2R loss makes it challenging to maintain the integrity of different voltage domains under a lower supply voltage environment in the smaller technology nodes. Fully integrated on-chip voltage regulators have proven to be an effective solution to mitigate power delivery and integrity issues. Two types of regulators are considered as most promising for on-chip implementation: (i) the low-drop-out (LDO) regulator and (ii) the switched-capacitor (SC)regulator. The first part of our research mainly focused on the LDO regulator. Inspired by the recent surge of interest for cap-less voltage regulators, we presented two fully on-chip external capacitor-less low-dropout voltage regulator design. The second part of this proposal explores the complexity of designing each block of the regulator/analog circuit and proposed a design methodology for analog circuit synthesis using simulation and learning-based approach. As the complexity is increasing day-by-day in an analog circuit, hierarchical flow mostly uses for design automation. In this work, we focused mainly on Circuit-level, one of the significant steps in the flow. We presented a novel, efficient circuit synthesis flow based on simulation and learning-based optimization methods. The proposed methodology has two phases: the learning phase and the evaluation phase. Random forest, a supervised learning is used to reduce the sample points in the design space and iteration number during the learning phase. Additionally, symmetric constraints are used further to reduce the iteration number during the sizing process. We introduced a three-step circuit synthesis flow to automate the analog circuit design. We used H-spice as a simulation tool during the evaluation phase of the proposed methodology. The three most common analog circuits are chosen: single-stage differential amplifier, operational transconductance amplifier, and two-stage differential amplifier to verify the algorithm. The tool is developed in Python, and the technology we used is0.6um. We also verified the optimized result in Cadence Virtuoso.Introduction -- On-chip power delivery system -- Fundamentals of on-chip voltage regulator -- LDO design in 45NM technology -- LDO design in technology -- Analog design automation -- Proposed analog design methodology -- Energy efficient FDSOI and FINFET based power gating circuit using data retention transistor -- Conclusion and future wor

Very-Large-Scale-Integration Circuit Techniques in Internet-of-Things Applications

Heading towards the era of Internet-of-things (IoT) means both opportunity and challenge for the circuit-design community. In a system where billions of devices are equipped with the ability to sense, compute, communicate with each other and perform tasks in a coordinated manner, security and power management are among the most critical challenges. Physically unclonable function (PUF) emerges as an important security primitive in hardware-security applications; it provides an object-specific physical identifier hidden within the intrinsic device variations, which is hard to expose and reproduce by adversaries. Yet, designing a compact PUF robust to noise, temperature and voltage remains a challenge. This thesis presents a novel PUF design approach based on a pair of ultra-compact analog circuits whose output is proportional to absolute temperature. The proposed approach is demonstrated through two works: (1) an ultra-compact and robust PUF based on voltage-compensated proportional-to-absolute-temperature voltage generators that occupies 8.3× less area than the previous work with the similar robustness and twice the robustness of the previously most compact PUF design and (2) a technique to transform a 6T-SRAM array into a robust analog PUF with minimal overhead. In this work, similar circuit topology is used to transform a preexisting on-chip SRAM into a PUF, which further reduces the area in (1) with no robustness penalty. In this thesis, we also explore techniques for power management circuit design. Energy harvesting is an essential functionality in an IoT sensor node, where battery replacement is cost-prohibitive or impractical. Yet, existing energy-harvesting power management units (EH PMU) suffer from efficiency loss in the two-step voltage conversion: harvester-to-battery and battery-to-load. We propose an EH PMU architecture with hybrid energy storage, where a capacitor is introduced in addition to the battery to serve as an intermediate energy buffer to minimize the battery involvement in the system energy flow. Test-case measurements show as much as a 2.2× improvement in the end-to-end energy efficiency. In contrast, with the drastically reduced power consumption of IoT nodes that operates in the sub-threshold regime, adaptive dynamic voltage scaling (DVS) for supply-voltage margin removal, fully on-chip integration and high power conversion efficiency (PCE) are required in PMU designs. We present a PMU–load co-design based on a fully integrated switched-capacitor DC-DC converter (SC-DC) and hybrid error/replica-based regulation for a fully digital PMU control. The PMU is integrated with a neural spike processor (NSP) that achieves a record-low power consumption of 0.61 µW for 96 channels. A tunable replica circuit is added to assist the error regulation and prevent loss of regulation. With automatic energy-robustness co-optimization, the PMU can set the SC-DC’s optimal conversion ratio and switching frequency. The PMU achieves a PCE of 77.7% (72.2%) at VIN = 0.6 V (1 V) and at the NSP’s margin-free operating point

Toward realizing power scalable and energy proportional high-speed wireline links

Growing computational demand and proliferation of cloud computing has placed high-speed serial links at the center stage. Due to saturating energy efficiency improvements over the last five years, increasing the data throughput comes at the cost of power consumption. Conventionally, serial link power can be reduced by optimizing individual building blocks such as output drivers, receiver, or clock generation and distribution. However, this approach yields very limited efficiency improvement. This dissertation takes an alternative approach toward reducing the serial link power. Instead of optimizing the power of individual building blocks, power of the entire serial link is reduced by exploiting serial link usage by the applications. It has been demonstrated that serial links in servers are underutilized. On average, they are used only 15% of the time, i.e. these links are idle for approximately 85% of the time. Conventional links consume power during idle periods to maintain synchronization between the transmitter and the receiver. However, by powering-off the link when idle and powering it back when needed, power consumption of the serial link can be scaled proportionally to its utilization. This approach of rapid power state transitioning is known as the rapid-on/off approach. For the rapid-on/off to be effective, ideally the power-on time, off-state power, and power state transition energy must all be close to zero. However, in practice, it is very difficult to achieve these ideal conditions. Work presented in this dissertation addresses these challenges. When this research work was started (2011-12), there were only a couple of research papers available in the area of rapid-on/off links. Systematic study or design of a rapid power state transitioning in serial links was not available in the literature. Since rapid-on/off with nanoseconds granularity is not a standard in any wireline communication, even the popular test equipment does not support testing any such feature, neither any formal measurement methodology was available. All these circumstances made the beginning difficult. However, these challenges provided a unique opportunity to explore new architectural techniques and identify trade-offs. The key contributions of this dissertation are as follows. The first and foremost contribution is understanding the underlying limitations of saturating energy efficiency improvements in serial links and why there is a compelling need to find alternative ways to reduce the serial link power. The second contribution is to identify potential power saving techniques and evaluate the challenges they pose and the opportunities they present. The third contribution is the design of a 5Gb/s transmitter with a rapid-on/off feature. The transmitter achieves rapid-on/off capability in voltage mode output driver by using a fast-digital regulator, and in the clock multiplier by accurate frequency pre-setting and periodic reference insertion. To ease timing requirements, an improved edge replacement logic circuit for the clock multiplier is proposed. Mathematical modeling of power-on time as a function of various circuit parameters is also discussed. The proposed transmitter demonstrates energy proportional operation over wide variations of link utilization, and is, therefore, suitable for energy efficient links. Fabricated in 90nm CMOS technology, the voltage mode driver, and the clock multiplier achieve power-on-time of only 2ns and 10ns, respectively. This dissertation highlights key trade-off in the clock multiplier architecture, to achieve fast power-on-lock capability at the cost of jitter performance. The fourth contribution is the design of a 7GHz rapid-on/off LC-PLL based clock multi- plier. The phase locked loop (PLL) based multiplier was developed to overcome the limita- tions of the MDLL based approach. Proposed temperature compensated LC-PLL achieves power-on-lock in 1ns. The fifth and biggest contribution of this dissertation is the design of a 7Gb/s embedded clock transceiver, which achieves rapid-on/off capability in LC-PLL, current-mode transmit- ter and receiver. It was the first reported design of a complete transceiver, with an embedded clock architecture, having rapid-on/off capability. Background phase calibration technique in PLL and CDR phase calibration logic in the receiver enable instantaneous lock on power-on. The proposed transceiver demonstrates power scalability with a wide range of link utiliza- tion and, therefore, helps in improving overall system efficiency. Fabricated in 65nm CMOS technology, the 7Gb/s transceiver achieves power-on-lock in less than 20ns. The transceiver achieves power scaling by 44x (63.7mW-to-1.43mW) and energy efficiency degradation by only 2.2x (9.1pJ/bit-to-20.5pJ/bit), when the effective data rate (link utilization) changes by 100x (7Gb/s-to-70Mb/s). The sixth and final contribution is the design of a temperature sensor to compensate the frequency drifts due to temperature variations, during long power-off periods, in the fast power-on-lock LC-PLL. The proposed self-referenced VCO-based temperature sensor is designed with all digital logic gates and achieves low supply sensitivity. This sensor is suitable for integration in processor and DRAM environments. The proposed sensor works on the principle of directly converting temperature information to frequency and finally to digital bits. A novel sensing technique is proposed in which temperature information is acquired by creating a threshold voltage difference between the transistors used in the oscillators. Reduced supply sensitivity is achieved by employing junction capacitance, and the overhead of voltage regulators and an external ideal reference frequency is avoided. The effect of VCO phase noise on the sensor resolution is mathematically evaluated. Fabricated in the 65nm CMOS process, the prototype can operate with a supply ranging from 0.85V to 1.1V, and it achieves a supply sensitivity of 0.034oC/mV and an inaccuracy of ±0.9oC and ±2.3oC from 0-100oC after 2-point calibration, with and without static nonlinearity correction, respectively. It achieves a resolution of 0.3oC, resolution FoM of 0.3(nJ/conv)res2 , and measurement (conversion) time of 6.5μs

Distributed IC Power Delivery: Stability-Constrained Design Optimization and Workload-Aware Power Management

ABSTRACT Power delivery presents key design challenges in today’s systems ranging from high performance micro-processors to mobile systems-on-a-chips (SoCs). A robust power delivery system is essential to ensure reliable operation of on-die devices. Nowadays it has become an important design trend to place multiple voltage regulators on-chip in a distributive manner to cope with power supply noise. However, stability concern arises because of the complex interactions be-tween multiple voltage regulators and bulky network of the surrounding passive parasitics. The recently developed hybrid stability theorem (HST) is promising to deal with the stability of such system by efficiently capturing the effects of all interactions, however, large overdesign and hence severe performance degradation are caused by the intrinsic conservativeness of the underlying HST framework. To address such challenge, this dissertation first extends the HST by proposing a frequency-dependent system partitioning technique to substantially reduce the pessimism in stability evaluation. By systematically exploring the theoretical foundation of the HST framework, we recognize all the critical constraints under which the partitioning technique can be performed rigorously to remove conservativeness while maintaining key theoretical properties of the partitioned subsystems. Based on that, we develop an efficient stability-ensuring automatic design flow for large power delivery systems with distributed on-chip regulation. In use of the proposed approach, we further discover new design insights for circuit designers such as how regulator topology, on-chip decoupling capacitance, and the number of integrated voltage regulators can be optimized for improved system tradeoffs between stability and performances. Besides stability, power efficiency must be improved in every possible way while maintaining high power quality. It can be argued that the ultimate power integrity and efficiency may be best achieved via a heterogeneous chain of voltage processing starting from on-board switching voltage regulators (VRs), to on-chip switching VRs, and finally to networks of distributed on-chip linear VRs. As such, we propose a heterogeneous voltage regulation (HVR) architecture encompassing regulators with complimentary characteristics in response time, size, and efficiency. By exploring the rich heterogeneity and tunability in HVR, we develop systematic workload-aware control policies to adapt heterogeneous VRs with respect to workload change at multiple temporal scales to significantly improve system power efficiency while providing a guarantee for power integrity. The proposed techniques are further supported by hardware-accelerated machine learning prediction of non-uniform spatial workload distributions for more accurate HVR adaptation at fine time granularity. Our evaluations based on the PARSEC benchmark suite show that the proposed adaptive 3-stage HVR reduces the total system energy dissipation by up to 23.9% and 15.7% on average compared with the conventional static two-stage voltage regulation using off- and on-chip switching VRs. Compared with the 3-stage static HVR, our runtime control reduces system energy by up to 17.9% and 12.2% on average. Furthermore, the proposed machine learning prediction offers up to 4.1% reduction of system energy

A Ringamp-Assisted, Output Capacitor-less Analog CMOS Low-Dropout Voltage Regulator

Continued advancements in state-of-the-art integrated circuits have furthered trends toward higher computational performance and increased functionality within smaller circuit area footprints, all while improving power efficiencies to meet the demands of mobile and battery-powered applications. A significant portion of these advancements have been enabled by continued scaling of CMOS technology into smaller process node sizes, facilitating faster digital systems and power optimized computation. However, this scaling has degraded classic analog amplifying circuit structures with reduced voltage headroom and lower device output resistance; and thus, lower available intrinsic gain. This work investigates these trends and their impact for fine-grain Low-Dropout (LDO) Voltage Regulators, leading to a presented design methodology and implementation of a state-of-the-art Ringamp-Assisted, Output Capacitor-less Analog CMOS LDO Voltage Regulator capable of both power scaling and process node scaling for general SoC applications

Voltage drop tolerance by adaptive voltage scaling using clock-data compensation

Proyecto de Graduación (Maestría en Ingeniería en Electrónica) Instituto Tecnológico de Costa Rica, Escuela de Ingeniería Electrónica, 2019.El ruido de alta frecuencia en la red de alimentación compromete el rendimiento y la eficiencia energética de los sistemas electrónicos con microprocesadores, restringiendo la frecuencia máxima de operación de los sistemas y disminuyendo la confiabilidad de los dispositivos. La frecuencia máxima será determinada por la ruta de datos más crítica (la ruta de datos más lenta). De esta manera, es necesario configurar una banda de guarda para tolerar caídas de voltaje sin tener ningún problema de ejecución, pero sacrificando el rendimiento eléctrico. Este trabajo evalúa el impacto de la caída de voltaje en el rendimiento de los circuitos CMOS de alta densidad, estableciendo un conjunto de casos de prueba que contienen diferentes configuraciones de circuitos. Se desarrolló una técnica adaptable y escalable para mejorar la tolerancia a la caída de voltaje en los circuitos CMOS a través del escalado adaptativo, aprovechando el efecto de compensación de datos del reloj. La solución propuesta se validó aplicándola a diferentes casos de prueba en una tecnología FinFet-CMOS a nivel de simulación del diseño físico.High-frequency power supply noise compromises performance and energy efficiency of microprocessor-based products, restricting the maximum frequency of operation for electronic systems and decreasing device reliability. The maximum frequency is going to be determine by the most critical data path (the slowest data path). In this way, a guard band needs to be set in order to tolerate voltage drops without having any execution problem, but leading to a performance reduction. This work evaluates the impact of voltage drop in the performance of CMOS circuits by establishing a set of test cases containing different circuit configurations. An adaptive and scalable technique is proposed to enhance voltage drop tolerance in CMOS circuits through adaptive scaling, taking advantage of the clock-data compensation effect. The proposed solution is validated by applying it to different test cases in a FinFet CMOS technology at a post-layout simulation level

System Identification, Diagnosis, and Built-In Self-Test of High Switching Frequency DC-DC Converters

abstract: Complex electronic systems include multiple power domains and drastically varying dynamic power consumption patterns, requiring the use of multiple power conversion and regulation units. High frequency switching converters have been gaining prominence in the DC-DC converter market due to smaller solution size (higher power density) and higher efficiency. As the filter components become smaller in value and size, they are unfortunately also subject to higher process variations and worse degradation profiles jeopardizing stable operation of the power supply. This dissertation presents techniques to track changes in the dynamic loop characteristics of the DC-DC converters without disturbing the normal mode of operation. A digital pseudo-noise (PN) based stimulus is used to excite the DC-DC system at various circuit nodes to calculate the corresponding closed-loop impulse response. The test signal energy is spread over a wide bandwidth and the signal analysis is achieved by correlating the PN input sequence with the disturbed output generated, thereby accumulating the desired behavior over time. A mixed-signal cross-correlation circuit is used to derive on-chip impulse responses, with smaller memory and lower computational requirement in comparison to a digital correlator approach. Model reference based parametric and non-parametric techniques are discussed to analyze the impulse response results in both time and frequency domain. The proposed techniques can extract open-loop phase margin and closed-loop unity-gain frequency within 5.2% and 4.1% error, respectively, for the load current range of 30-200mA. Converter parameters such as natural frequency (ω_n ), quality factor (Q), and center frequency (ω_c ) can be estimated within 3.6%, 4.7%, and 3.8% error respectively, over load inductance of 4.7-10.3µH, and filter capacitance of 200-400nF. A 5-MHz switching frequency, 5-8.125V input voltage range, voltage-mode controlled DC-DC buck converter is designed for the proposed built-in self-test (BIST) analysis. The converter output voltage range is 3.3-5V and the supported maximum load current is 450mA. The peak efficiency of the converter is 87.93%. The proposed converter is fabricated on a 0.6µm 6-layer-metal Silicon-On-Insulator (SOI) technology with a die area of 9mm^2 . The area impact due to the system identification blocks including related I/O structures is 3.8% and they consume 530µA quiescent current during operation.Dissertation/ThesisDoctoral Dissertation Electrical Engineering 201

Energy Efficient Hardware Design for Securing the Internet-of-Things

The Internet of Things (IoT) is a rapidly growing field that holds potential to transform our everyday lives by placing tiny devices and sensors everywhere. The ubiquity and scale of IoT devices require them to be extremely energy efficient. Given the physical exposure to malicious agents, security is a critical challenge within the constrained resources. This dissertation presents energy-efficient hardware designs for IoT security. First, this dissertation presents a lightweight Advanced Encryption Standard (AES) accelerator design. By analyzing the algorithm, a novel method to manipulate two internal steps to eliminate storage registers and replace flip-flops with latches to save area is discovered. The proposed AES accelerator achieves state-of-art area and energy efficiency. Second, the inflexibility and high Non-Recurring Engineering (NRE) costs of Application-Specific-Integrated-Circuits (ASICs) motivate a more flexible solution. This dissertation presents a reconfigurable cryptographic processor, called Recryptor, which achieves performance and energy improvements for a wide range of security algorithms across public key/secret key cryptography and hash functions. The proposed design employs circuit techniques in-memory and near-memory computing and is more resilient to power analysis attack. In addition, a simulator for in-memory computation is proposed. It is of high cost to design and evaluate new-architecture like in-memory computing in Register-transfer level (RTL). A C-based simulator is designed to enable fast design space exploration and large workload simulations. Elliptic curve arithmetic and Galois counter mode are evaluated in this work. Lastly, an error resilient register circuit, called iRazor, is designed to tolerate unpredictable variations in manufacturing process operating temperature and voltage of VLSI systems. When integrated into an ARM processor, this adaptive approach outperforms competing industrial techniques such as frequency binning and canary circuits in performance and energy.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/147546/1/zhyiqun_1.pd