There are 1 repository under petalinux topic.
Dockerfile to build docker images with Petalinux (Tested on version 2018.3~2021.1)
RISC-V Rocket Core on Parallella & ZedBoard Zynq FPGA Boards
使用 Vivado+PetaLinux 为 Xilinx Zynq7 搭建 Linux 系统 —— 以 Zedboard 为例
Vivado and PetaLinux projects for Zynq EBAZ4205 Board
My docker environment to build the yocto project
Docker image generation for Xilinx Petalinux Tools
Docker image generation for generic Petalinux
Encapsulate Xilinx PetaLinux tools 14.04 into docker image
Hardware accelerated Julia set explorer running on Ultra96
Workflow for Executing CNN Networks on Zynq Ultrascale+ with VITIS AI. Detailed analysis, configuration, and execution of Convolutional Neural Networks on ZCU102 using VITIS AI, evaluating performance on the board compared to Cloud infrastructure. Developed for educational exam purposes.
Yocto layer for the FRED framework
A tutorial on the usage of AXI4-Lite and AXI4-Stream Interfaces on HW Accelerators generated through High-Level Synthesis (HLS)
Github repo for monius/petalinux in docker hub.
Complete project in Vivado 2022.1 + userspace app for petalinux. Loopback AXI simple DMA transfer.
xfOpenCV Optical Flow implemented on Zedboard with built aarch32 OpenCV libraries
Xilinx DPU(Vitis AI)を用いたエッジAI実現に向けたサンプルプログラム
A simple proof of concept project demonstrating the use of PetaLinux in conjunction with Vivado to deploy a Linux environment alongside programable logic on a heterogeneous System on a Chip (SoC).
Notes after working with Zynq platform using vivado and petalinux
CyDAQ DSP Platform Firmware and Software Redesign - Iowa State University Senior Design May 2023 Group 47 - Blake Fisher, Cole Langner, Corbin Kems, Jens Rasmussen, Long Zeng, Wyatt Duberstein, Yohan Bopearatchy
Linux Device Driver for Custom IP with Interrupt running on ZedBoard
Fred for Linux. Experimental support.
Workflow for executing CNN Networks on Zynq Ultrascale+ with Vitis AI toolchain. Detailed analysis, configuration and execution of Convolutional Neural Networks on ZCU102 using Vitis AI, evaluating performance on the board compared to Cloud infrastructure (eg. Kaggle). Developed for educational exam purposes.
Ultra96-V2 Vitis Platform for Xilinx Design Tools version 2020.1
This is an IoT Edge computing system powered by an ANN to predict floods on cities near Mississippi river
Projects using ebaz4205 Zynq board
Booting Ubuntu 2023 on Zynq Zybo 2710 using microSD card
Software stopwatch that runs on FPGA