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Full-Text Articles in Engineering

System Design And Implementation For Hybrid Network Function Virtualization, Xuzhi Zhang Dec 2020

System Design And Implementation For Hybrid Network Function Virtualization, Xuzhi Zhang

Doctoral Dissertations

With the application of virtualization technology in computer networks, many new research areas and techniques have been explored, such as network function virtualization (NFV). A significant benefit of virtualization is that it reduces the cost of a network system and increases its flexibility. Due to the increasing complexity of the network environment and constantly improving network scale and bandwidth, it is imperative to aim for higher performance, extensibility, and flexibility in the future network systems. In this dissertation, hybrid NFV platforms applying virtualization technology are proposed. We further explore the techniques used to improve the performance, scalability and resilience of …


Root Cause Analysis And Classification Of Single Point Failures In Designs Applying Triple Modular Redundancy In Sram Fpgas, James D. Swift Dec 2020

Root Cause Analysis And Classification Of Single Point Failures In Designs Applying Triple Modular Redundancy In Sram Fpgas, James D. Swift

Theses and Dissertations

Radiation effects encountered in space or aviation environments can affect the configuration bits in Field Programmable Gate Arrays (FPGA) causing errors in FPGA output. One method of increasing FPGA reliability in radiation environments includes adding redundant logic to mask errors and allow time for repair. Despite the redundancy added with triple modular redundancy (TMR) and configuration scrubbing there exist some configuration bits that individually affect multiple TMR domains causing errors in FPGA output. A new tool called DeBit is introduced that identifies hardware resources associated with a single bit failure. This tool identifies a novel failure mode involving global routing …


Hardware Development For The Generation Of Large-Volume High Pressure Plasma By Spatiotemporal Control Of Space Charge, Nikhil Boothpur Dec 2020

Hardware Development For The Generation Of Large-Volume High Pressure Plasma By Spatiotemporal Control Of Space Charge, Nikhil Boothpur

Electrical & Computer Engineering Theses & Dissertations

While generating a plasma under laboratory conditions, any attempt to scale the pressure and volume leads to instabilities due to the build-up of localized space-charge. This poses a challenge in the design of the discharge chamber, type of excitation field, and the type of gas that is used in the discharge. This work investigates a spatially and temporally varying electric field to control the formation of space-charge in large-volume (greater than 5 mm in the smallest dimension) near atmospheric pressure. The simulations show that in a space-charge dominated transport, the charged species disperse both in azimuthal and radial directions in …


Edge Computing For Deep Learning-Based Distributed Real-Time Object Detection On Iot Constrained Platforms At Low Frame Rate, Lakshmikavya Kalyanam Oct 2020

Edge Computing For Deep Learning-Based Distributed Real-Time Object Detection On Iot Constrained Platforms At Low Frame Rate, Lakshmikavya Kalyanam

USF Tampa Graduate Theses and Dissertations

In the era of IoT (Internet of Things) and edge computing, there is a rising need for real-time applications in the domain of computer vision. The increase in hardware computing capabilities gave rise to applications of neural networks in various fields. Implementing IoT with neural networks in domains such as image and video recognition has shown promising performance when deployed in complex environments. There is an emerging demand for applications that require data computation in real-time with low latency. In an effort to address these issues, while keeping in mind the computing capabilities of IoT devices, we seek to develop …


Domain Specific Computing In Tightly-Coupled Heterogeneous Systems, Anthony Michael Cabrera Aug 2020

Domain Specific Computing In Tightly-Coupled Heterogeneous Systems, Anthony Michael Cabrera

McKelvey School of Engineering Theses & Dissertations

Over the past several decades, researchers and programmers across many disciplines have relied on Moores law and Dennard scaling for increases in compute capability in modern processors. However, recent data suggest that the number of transistors per square inch on integrated circuits is losing pace with Moores laws projection due to the breakdown of Dennard scaling at smaller semiconductor process nodes. This has signaled the beginning of a new “golden age in computer architecture” in which the paradigm will be shifted from improving traditional processor performance for general tasks to architecting hardware that executes a class of applications in a …


Data Processing Electronics For An Ultra-Fast Single-Photon Counting Camera, Jackson Hyde Aug 2020

Data Processing Electronics For An Ultra-Fast Single-Photon Counting Camera, Jackson Hyde

McKelvey School of Engineering Theses & Dissertations

Localizing photon arrivals with high spatial (megapixel) and temporal (sub-nanosecond) resolution would be transformative for a number of applications, including single-molecule super-resolution fluorescence microscopy. Here, the Data Processing Field Programmable Gate Array (FPGA) is developed as an ultra-fast computational platform built on an FPGA for a microchannel plate (MCP)-photomultiplier tube (PMT) based single-photon counting camera. Each photon is converted by the MCP-PMT into an electron cloud that generates current pulses across a 50×50 cross-strip anode. The Data Processing FPGA executes a massively parallel center-of-gravity coordinate determination algorithm on the digitized current pulses to determine a 2D position and time of …


Compound Effects Of Clock And Voltage Based Power Side-Channel Countermeasures, Jacqueline Lagasse Jul 2020

Compound Effects Of Clock And Voltage Based Power Side-Channel Countermeasures, Jacqueline Lagasse

Masters Theses

The power side-channel attack, which allows an attacker to derive secret information from power traces, continues to be a major vulnerability in many critical systems. Numerous countermeasures have been proposed since its discovery as a serious vulnerability, including both hardware and software implementations. Each countermeasure has its own drawback, with some of the highly effective countermeasures incurring large overhead in area and power. In addition, many countermeasures are quite invasive to the design process, requiring modification of the design and therefore additional validation and testing to ensure its accuracy. Less invasive countermeasures that do not require directly modifying the system …


Compiler-Based Tools To Aid In Data Transfer Optimization And On-Chip Debug Of Heterogeneous Compute Systems, Matthew B. Ashcraft Jul 2020

Compiler-Based Tools To Aid In Data Transfer Optimization And On-Chip Debug Of Heterogeneous Compute Systems, Matthew B. Ashcraft

Theses and Dissertations

First, we present techniques to efficiently schedule data transfers through compiler analyses. Compared to transferring data immediately before and after the kernel executes, our scheduling results in orders of magnitude improvements in execution time, number of data transfers, and number of bytes transferred. Second, we demonstrate techniques to provide on-chip debugging for heterogeneous systems through recording execution on the software in addition to debugging circuitry in the hardware, and provide a temporal correlation between the hardware and software traces through synchronization. This allows us to follow debug data between the hardware and software trace buffers. Due to the added cost …


Evaluating And Improving The Seu Reliability Of Artificial Neural Networks Implemented In Sram-Based Fpgas With Tmr, Brittany Michelle Wilson Jun 2020

Evaluating And Improving The Seu Reliability Of Artificial Neural Networks Implemented In Sram-Based Fpgas With Tmr, Brittany Michelle Wilson

Theses and Dissertations

Artificial neural networks (ANNs) are used in many types of computing applications. Traditionally, ANNs have been implemented in software, executing on CPUs and even GPUs, which capitalize on the parallelizable nature of ANNs. More recently, FPGAs have become a target platform for ANN implementations due to their relatively low cost, low power, and flexibility. Some safety-critical applications could benefit from ANNs, but these applications require a certain level of reliability. SRAM-based FPGAs are sensitive to single-event upsets (SEUs), which can lead to faults and errors in execution. However there are techniques that can mask such SEUs and thereby improve the …


Dynamic Reconfigurable Real-Time Video Processing Pipelines On Sram-Based Fpgas, Andrew Elbert Wilson Jun 2020

Dynamic Reconfigurable Real-Time Video Processing Pipelines On Sram-Based Fpgas, Andrew Elbert Wilson

Theses and Dissertations

For applications such as live video processing, there is a high demand for high performance and low latency solutions. The configurable logic in FPGAs allows for custom hardware to be tailored to a specific video application. These FPGA designs require technical expertise and lengthy implementation times by vendor tools for each unique solution. This thesis presents a dynamically configurable topology as an FPGA overlay to deploy custom hardware processing pipelines during run-time by utilizing dynamic partial reconfiguration. Within the FPGA overlay, a configurable topology with a routable switch allows video streams to be copied and mixed to create complex data …


Flexible Fault Tolerance For The Robot Operating System, Sukhman S. Marok Jun 2020

Flexible Fault Tolerance For The Robot Operating System, Sukhman S. Marok

Master's Theses

The introduction of autonomous vehicles has the potential to reduce the number of accidents and save countless lives. These benefits can only be realized if autonomous vehicles can prove to be safer than human drivers. There is a large amount of active research around developing robust algorithms for all parts of the autonomous vehicle stack including sensing, localization, mapping, perception, prediction, planning, and control. Additionally, some of these research projects have involved the use of the Robot Operating System (ROS). However, another key aspect of realizing an autonomous vehicle is a fault-tolerant design that can ensure the safe operation of …


An Fpga-Based Hardware Accelerator For The Digital Image Correlation Engine, Keaten Stokke May 2020

An Fpga-Based Hardware Accelerator For The Digital Image Correlation Engine, Keaten Stokke

Graduate Theses and Dissertations

The work presented in this thesis was aimed at the development of a hardware accelerator for the Digital Image Correlation engine (DICe) and compare two methods of data access, USB and Ethernet. The original DICe software package was created by Sandia National Laboratories and is written in C++. The software runs on any typical workstation PC and performs image correlation on available frame data produced by a camera. When DICe is introduced to a high volume of frames, the correlation time is on the order of days. The time to process and analyze data with DICe becomes a concern when …


A High Frequency Photoacoustic System For Colorectal Cancer Imaging, Kexin Huang May 2020

A High Frequency Photoacoustic System For Colorectal Cancer Imaging, Kexin Huang

McKelvey School of Engineering Theses & Dissertations

While colorectal cancer is the second largest cause of cancer-related deaths in the United States, early detection is a key factor in its survival rate. Compared to conventional imaging modalities, photoacoustic imaging offers benefits in providing angiographic images which are valuable for early-stage tumor detection. This thesis presents the design of a 32-channel 80 MHz photoacoustic image system, whose relatively high frequency offers particular advantages. The system comprises several modules, including a laser system, ultrasound probe, AD convertor, microcontroller (FPGA), and a computer. The system requires programs for the FPGA and the data receiver on the computer. The data transportation …


Distributed Memory Based Fpga Debug, Robert Benjamin Hale Apr 2020

Distributed Memory Based Fpga Debug, Robert Benjamin Hale

Theses and Dissertations

Field-programmable gate arrays (FPGAs) are powerful integrated circuits for low-overhead custom computing needs and design prototyping. Due to the hardware nature of programming an FPGA, finding bugs in a design can be a very challenging process. Signals need to be physically probed and data recorded in real time. This is often done by dedicating some resources on the FPGA itself towards an embedded logic analyzer. This method is effective but can be time and resource consuming. Academic research projects have produced a variety of methods for reducing this difficulty. One option that has previously been unexplored is the use of …


An Overlay Architecture For Pattern Matching, Rasha Elham Karakchi Apr 2020

An Overlay Architecture For Pattern Matching, Rasha Elham Karakchi

Theses and Dissertations

Deterministic and Non-deterministic Finite Automata (DFA and NFA) comprise the fundamental unit of work for many emerging big data applications, motivating recent efforts to develop Domain-Specific Architectures (DSAs) to exploit fine-grain parallelism available in automata workloads.

This dissertation presents NAPOLY (Non-Deterministic Automata Processor Over- LaY), an overlay architecture and associated software that attempt to maximally exploit on-chip memory parallelism for NFA evaluation. In order to avoid an upper bound in NFA size that commonly affects prior efforts, NAPOLY is optimized for runtime reconfiguration, allowing for full reconfiguration in 10s of microseconds. NAPOLY is also parameterizable, allowing for offline generation of …


Trustworthy Systems And Protocols For The Internet Of Things, Arman Pouraghily Mar 2020

Trustworthy Systems And Protocols For The Internet Of Things, Arman Pouraghily

Doctoral Dissertations

Processor-based embedded systems are integrated into many aspects of everyday life such as industrial control, automotive systems, healthcare, the Internet of Things, etc. As Moore’s law progresses, these embedded systems have moved from simple microcontrollers to full-scale embedded computing systems with multiple processor cores and operating systems support. At the same time, the security of these devices has also become a key concern. Our main focus in this work is the security and privacy of the embedded systems used in IoT systems. In the first part of this work, we take a look at the security of embedded systems from …