Introduction| amaranth-lang.org
In this post, I provide a quick guide to building an open-source FPGA toolchain for iCE40 boards, such as iCEBreaker, on Linux. This guide is designed for Ubuntu or Pop!_OS 20.04, but should be straightforward to adjust to your own distro.| Project F
A fairly detailed guide on building and installing a gateware toolchain in a self-contained and repeatable way.| lottia notes
Introduction This tutorial will use the PYNQ Z1 development board and Tensil’s open-source inference accelerator to show how to run machine learning (ML) models on FPGA. We will be using ResNet-20 trained on the CIFAR dataset. These steps should work for any supported ML model – currently all the common state-of-the-art convolutional neural networks are supported. Try it with your model! We’ll give detailed end-to-end coverage that is easy to follow.| k155la3.blog
Introduction This tutorial will use the Avnet Ultra96 V2 development board and Tensil’s open-source inference accelerator to show how to run machine learning (ML) models on FPGA. We will be using ResNet-20 trained on the CIFAR dataset. These steps should work for any supported ML model – currently all the common state-of-the-art convolutional neural networks are supported. Try it with your model! We’ll give detailed end-to-end coverage that is easy to follow.| k155la3.blog
