This repository (repo.) provides you the materials to getting started with FPGA application development using PYNQ-ZU board - an AMD (Xilinx before) Zynq Ultrascale+ development board.
- FPGA: Field Programmable Gate Arrays
- MPSoC: Short of Xilinx® Zynq® UltraScale+™ MultiProcessor System on a Chip (MPSoC)
- PS: Processing System, indicates Arm Cortex-A53 Based Application Processing Unit (APU), and Dual-core Arm Cortex-R5F Based Real-Time Processing Unit (RPU) on MPSoC.
- PL: Programmable Logic, means FPGA resources in an MPSoC device.
- Soft-core: A sub processor in an heterogeneous system. These processors are usually synthesized and implemented on an FPGA.
- MicroBlaze: A soft-microprocessor which is built as a sub-system for I/O control in MPSoC platforms.
- Vitis Libraries: A library contains an extensive set of open-source, performance-optimized libraries that offer out-of-the-box acceleration with minimal to zero-code changes to your existing applications.
- DPU: Short of Deep Learning Processor Unit - A special soft-core which is designed, synthesized and implemented on AMD FPGAs to accelerate deep learning models.
- Vitis AI: A comprehensive AI inference development solution for AMD devices, boards, and Alveo™ data center acceleration cards. It consists of a rich set of AI models, optimized deep learning processor unit (DPU) cores, tools, libraries, and example designs for AI at the edge and in the data center.
- ROS: Robot Operating System is an open-source robotics middleware suite. It contains a set of software libraries and tools that help you build robot applications.
- 1_OpenCV-PS: Examine software-based application using ARM processors inside the MPSoC.
- 2_OpenCV-PL: Examine accelerated application using FPGA resources inside the MPSoC.
- 3_PMOD: Examine I/O control via PMOD interfaces with Microblaze Subsystems.
- 4_ROS: How to install ROS and exploit the ROS-based application development.
- 5_AI-Models-Zoo: Develop application using pre-trained deep learning models from Vitis AI model zoo.
- 0_Auxiliary: Several tips and code snippets to use PYNQ-ZU with ease.
| PYNQ | Vivado/Vitis | Vitis-AI | DPU-PYNQ | ROS |
|---|---|---|---|---|
| 2.7 (Austin) | <= 2020.2 | 1.4.1 | 1.4.0 | ✔️ noetic |
| 3.0 (Belfast) | <= 2022.1 | 2.5 | 2.5.1 | ❌ humble |
Note
- After installing Vitis_HLS/Vivado/Vitis, follow this instruction to patch an Y2K22 fix.
- Installing ROS2
humbleon PYNQ 3.0 (Belfast) is facing unresolved issue: APT's unmet dependencies.
[2] PYNQ-ZU distributed by E-Elements
[3] PYNQ-ZU designed by TUL Embedded
[5] Vitis™ Accelerated Libraries
[6] Vitis™ Libraries Github repo.
[8] PYNQ Frequently Asked Questions (FAQs)
[9] PYNQ embedded community projects
[10] PYNQ forum
[11] DPU for Convolutional Neural Network
[12] DPU on PYNQ
[13] Vitis™ AI
[15] Xilinx Wiki