Identifying Worst-Case Test Vectors for Delay Failures Induced by Total Dose in Flash- based FPGA

A thesis presented on the effects of space radiation on the flash-based FPGA leading to failure with applying a proposed fault model to identify the worst, nominal and best-case test vectors for each. This thesis analyzed the delay failure induced in a flash-based field programmable gate array (FPGA) by a total-ionizing dose. It then identified the different factors contributing to the amount of delay induced by the total dose in the FPGA. A novel fault model for delay failure in FPGA was developed. This fault model was used to identify worst-case test vectors for delay failures induced in FPGA devices exposed to a total ionizing dose. The fault model and the methodology for identifying worst-case test vectors WCTV were validated using Micro-semi ProASIC3 FPGA and Cobalt 60 radiation facility

Implementation and Applications of a Ternary Threshold Logic Gate

Reducing delay, power consumption, and chip area of a logic circuit are the main targets of a designer. Most of the times, the designer sacrifices power consumption and chip area to improve delay for a given technology node. To overcome this problem, we propose a ternary threshold logic gate. We implement the proposed gate by combining threshold logic and ternary logic. Then, we construct basic building blocks of a ternary ALU (as logic gates, comparator, and arithmetic circuits) using the proposed gate. We show that the proposed ternary TLG improves delay, power consumption, and chip area of ternary circuits via simulations. Thus, the proposed gate can be used to improve delay, power consumption, and chip area of ternary circuits

Implementation and Characterisation of Monolithic CMOS Pixel Sensors for the CLIC Vertex and Tracking Detectors

Different CMOS technologies are being considered for the vertex and tracking layers of the detector at the proposed high-energy e$^{+}$e$^{−}$ Compact Linear Collider (CLIC). CMOS processes have been proven to be suitable for building high granularity, large area detector systems with low material budget and low power consumption. An effort is put on implementing detectors capable of performing precise timing measurements. Two Application-Specific Integrated Circuits (ASICs) for particle detection have been developed in the framework of this thesis, following the specifications of the CLIC vertex and tracking detectors. The process choice was based on a study of the features of each of the different available technologies and an evaluation of their suitability for each application. The CLICpix Capacitively Coupled Pixel Detector (C3PD) is a pixelated detector chip designed to be used in capacitively coupled assemblies with the CLICpix2 readout chip, in the framework of the vertex detector at CLIC. The chip comprises a matrix of 128×128 square pixels with 25 µm pitch. A commercial 180 nm High-Voltage (HV) CMOS process was used for the C3PD design. The charge is collected with a large deep N-well, while each pixel includes a preamplifier placed on top of the collecting electrode. The C3PD chip was produced on wafers with different values for the substrate resistivity (∼ 20, 80, 200 and 1000 Ωcm) and has been extensively tested through laboratory measurements and beam tests. The design details and characterisation results of the C3PD chip will be presented. The CLIC Tracker Detector (CLICTD) is a novel monolithic detector chip developed in the context of the silicon tracker at CLIC. The CLICTD chip combines high density, mixed mode circuits on the same substrate, while it performs a fast time-tagging measurement with 10 ns time bins. The chip is produced in a 180 nm CMOS imaging process with a High-Resistivity (HR) epitaxial layer. A matrix of 16×128 detecting cells, each measuring 300 × 30 µm$^{2}$ , is included. A small N-well is used to collect the charge generated in the sensor volume, while an additional deep N-type implant is used to fully deplete the epitaxial layer. Using a process split, additional wafers are produced with a segmented deep N-type implant, a modification that has been simulated to result in a faster charge collection time. Each detecting cell is segmented into eight front-ends to ensure prompt charge collection in the sensor diodes. A simultaneous 8-bit timing and 5-bit energy measurement is performed in each detecting cell. A detailed description of the CLICTD design will be given, followed by the first measurement results

Benchmark methodologies for the optimized physical synthesis of RISC-V microprocessors

As technology continues to advance and chip sizes shrink, the complexity and design time required for integrated circuits have significantly increased. To address these challenges, Electronic Design Automation (EDA) tools have been introduced to streamline the design flow. These tools offer various methodologies and options to optimize power, performance, and chip area. However, selecting the most suitable methods from these options can be challenging, as they may lead to trade-offs among power, performance, and area. While architectural and Register Transfer Level (RTL) optimizations have been extensively studied in existing literature, the impact of optimization methods available in EDA tools on performance has not been thoroughly researched. This thesis aims to optimize a semiconductor processor through EDA tools within the physical synthesis domain to achieve increased performance while maintaining a balance between power efficiency and area utilization. By leveraging floorplanning tools and carefully selecting technology libraries and optimization options, the CV32E40P open-source processor is subjected to various floorplans to analyze their impact on chip performance. The employed techniques, including multibit components prefer option, multiplexer tree prefer option, identification and exclusion of problematic cells, and placement blockages, lead to significant improvements in cell density, congestion mitigation, and timing. The optimized synthesis results demonstrate a 71\% enhancement in chip design performance without a substantial increase in area, showcasing the effectiveness of these techniques in improving large-scale integrated circuits' performance, efficiency, and manufacturability. By exploring and implementing the available options in EDA tools, this study demonstrates how the processor's performance can be significantly improved while maintaining a balanced and efficient chip design. The findings contribute valuable insights to the field of electronic design automation, offering guidance to designers in selecting suitable methodologies for optimizing processors and other integrated circuits

Single event effects in static and dynamic registers in a 0.25−μ−m0.25-\mu-m CMOS technology

We have studied single event effects in static and dynamic registers designed in a quarter micron CMOS process. In our design, we systematically used guardrings and enclosed (edgeless) transistor geometry to improve the total dose tolerance. This design technique improved both the SEL and SEU sensitivity of the circuits. Using SPICE simulations, the measured smooth transition of the cross-section curve between LET threshold and saturation has been traced to the presence of four different upset modes, each corresponding to a different critical charge and sensitive area. A new architecture to protect the content of storage cells has been developed, and a threshold LET around 89 MeV cm/sup 2/ mg/sup -1/ has been measured for this cell at a power supply voltage of 2 V

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

Microdot - A Four-Bit Microcontroller Designed for Distributed Low-End Computing in Satellites

Many satellites are an integrated collection of sensors and actuators that require dedicated real-time control. For single processor systems, additional sensors require an increase in computing power and speed to provide the multi-tasking capability needed to service each sensor. Faster processors cost more and consume more power, which taxes a satellite\u27s power resources and may lead to shorter satellite lifetimes. An alternative design approach is a distributed network of small and low power microcontrollers designed for space that handle the computing requirements of each individual sensor and actuator. The design of microdot, a four-bit microcontroller for distributed low-end computing, is presented. The design is based on previous research completed at the Space Electronics Branch, Air Force Research Laboratory (AFRL/VSSE) at Kirtland AFB, NM, and the Air Force Institute of Technology at Wright-Patterson AFB, OH. The Microdot has 29 instructions and a 1K x 4 instruction memory. The distributed computing architecture is based on the Philips Semiconductor I2C Serial Bus Protocol. A prototype was implemented and tested using an Altera Field Programmable Gate Array (FPGA). The prototype was operable to 9.1 MHz. The design was targeted for fabrication in a radiation-hardened-by-design gate-array cell library for the TSMC 0.35 micrometer CMOS process