Welcome to the XUP Vitis-based Compute Acceleration tutorial. These labs will provide hands-on experience using the Vitis unified software platform with Xilinx FPGA hardware. You will learn how to develop applications using the Vitis development environment that supports OpenCL/C/C++ and RTL kernels.
The tutorial instructions target the following hardware and software:
This tutorial shows you how to use Vitis with AWS EC2 F1. Sources and precompiled solutions are provided for AWS EC2 F1 x2.large. You may be able to use the Vitis tutorial instructions with other cloud providers, and other hardware.
You can run this tutorial in different ways.
If you have an Alveo board, you can run all parts of the tutorial on a local machine.
Once you have decided how you want to run the tutorial, follow the appropriate instructions below.
If you are attending an instructor-led XUP AWS tutorial, preconfigured AWS F1 instances will be provided for you. Use the following instructions to connect to your assigned AWS XUP tutorial instance
An FPGA Developer AMI (Amazon Machine Image) is available with the Xilinx Vitis software preinstalled. This can be used to target AWS EC2 F1 hardware. An AMI is like a Virtual Machine image. You can use this AMI and the following instructions to set up and connect to an AWS instance
You can also install Vitis unified software platform on your local machine, build design offline, and use AWS F1 hardware for testing. See the Amazon guide to use AWS EC2 FPGA Development Kit for details on setting up your machine.
To use your own computer, install and set up Vitis and install the Alveo U200 packages
You also need to clone this repository to get a copy of the source code, the lab steps consider that this repository is cloned directly in the home directory (~).
git clone firstname.lastname@example.org:Xilinx/xup_compute_acceleration.git ~
The complete set of labs includes the following modules; it is recommended to complete each lab before proceeding to the next
Introduction to Vitis Part 1:
This lab shows you how to use the Vitis GUI to create a new project using a simple vector addition example. You will run CPU emulation (
sw_emu) to verify functional correctness of the example design.
Introduction to Vitis Part 2:
In this lab you will continue with the previous example and run hardware emulation (
hw_emu) to verify the functionality of the generated hardware design and profile the whole application. You will then use AWS F1 or on-premise hardware to validate the design using a pre-generated host application and FPGA binary.
Improving Performance: This lab shows how bandwidth can be improved, and thus system performance, by using wider data path and transferring data in parallel using multiple memory banks.
This lab guides you through the steps to analyze various generated reports and then apply optimization techniques, such as
DATAFLOW on the host program and
PIPELINING on kernel side to improve throughput and data transfer rate.
Vision Lab: In this lab you will create a Vitis design using the command line. The design uses two kernels from the Vitis Accelerated Libraries, image resize and image resize & blur. You will run software emulation and test the kernels in hardware.
PYNQ Labs: In this series of labs you will learn how to use PYNQ for easier user of Xilinx compute acceleration platforms.
These labs are intended for hardware designers who may want to use RTL to build kernels, and learn how to use lower level hardware debug features in Vitis.
RTL-Kernel: This lab guides you through the steps involved in using a RTL Kernel wizard to wrap a user RTL-based IP so the generated IP can be used in a Vitis project and application development.
Hardware Debugging: This lab will show you how to carry out host application debug, and debug of the hardware kernel.
Streaming: This lab will show you how to incorporate kernels having streaming interfaces.
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