Date of Graduation
Master of Science in Computer Engineering (MSCmpE)
Computer Science & Computer Engineering
Second Committee Member
Accelerator, DIC, DICe, FPGA, Hardware, Image
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-speed camera, like the Phantom VEO 1310, is used which is capable of recording up to 10,000 Frames Per Second (FPS) . To reduce this correlation time the DICe software package was ported over to Verilog, and a Xilinx UltraScale+ MPSoC ZCU104 FPGA was targeted for the design. FPGAs are used to implement the hardware accelerator due to their hardware-level speeds and reprogrammability. The ZCU104 board contains FPGA fabric on the Programmable Logic (PL) side that is used for the implementation of the ported DICe hardware design. On the Processing System (PS) side of the ZCU104, a quad-core ARM Cortex-A53 processor is available that runs the Ubuntu 18.04 LTS Linux-based kernel to provide the drivers for USB and Ethernet I/O, a standard file system that is accessed through a Command-Line Interface (CLI), and to run the program's control scripts that are written in C. This work compares the processing time of the DICe hardware accelerator when frame data is accessed via Ethernet-stream or local USB to showcase the fastest option when using DICe. Both methods of accessing frame data are necessary because data may be offloaded from the camera over Ethernet while it is still recording, or the frame data may be readily available in memory. By providing both a method to access frame data via USB and Ethernet, users have more flexibility when using the DICe hardware accelerator. The work presented in this thesis is significant because it is the first known hardware accelerator for the DICe software.
Stokke, K. (2020). An FPGA-Based Hardware Accelerator For The Digital Image Correlation Engine. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/3664
Hardware Systems Commons, Numerical Analysis and Scientific Computing Commons, Signal Processing Commons