everything-hardware

This repo contains everything I used to learn about hardware, including Verilog, Digital Design, Analog Design, FPGAs, Research etc.

Resources

• HDLBits - Verilog Practice
• NAND Game - Gamified Build Processor from NAND
• Nandland - FPGA and Verilog Tutorials
• FPGA4Fun - FPGA Projects (Different Interfaces Implementation)
• FPGA4Student - FPGA Projects
• MakerChip - Online IDE for Verilog

FPGA Boards

• PYNQ-Z2 - Xilinx Zynq-7000 SoC Development Board, Used in UCBerkeley's EECS151/251A
  • PYNQ Docs - v: latest

Courses

• FPGA MIT Website Project Videos
• HanLab EfficientML - How to make ML models smaller and effiecient for edge deployement.
• Bruce R. Land - Cornell - ECE 5760 covers FPGA and SoC design

• UC Berkeley (In Order of Requirement)

  • EECS16A, Spring 2023 - Designing Information Devices and Systems I
  • EECS16B, Fall 2023 - Designing Information Devices and Systems II
  • CS61C, Fall 2020 - Great Ideas in Computer Architecture (Machine Structures)
    • YouTube Playlist
  • EECS 151/251A, Fall 2022 - Introduction to Digital Design and Integrated Circuits (Recorded Lectures, Notes, Labs, Projects)
    • Pre-Requisite: CS61C
    • YouTube Playlist
  • CS 152/252A, Spring 2023 - Computer Architecture and Engineering
    • Pre-Requisite: CS61C
    • YouTube Playlist
  • EECS 251B, Spring 2022 - Advanced Digital Circuits and Systems (ChipYard)
    • Pre-Requisite: EECS151/251A
    • YouTube Playlist
  • EE290-2, Spring 2021 - Hardware for Machine Learning
    • Pre-Requisite: EECS151/251A
    • YouTube Playlist

Articles & Blogs

• Connecting an FPGA accelerator to the Raspberry Pi 5
• Bruce Land's Hackaday Page
• The Data Bus - FPGA Based ML Acceleration, FPGA Guides

Useful Github Repos

• FPGA ML Accelerators

Documents

• Zynq-7000 SoC: Embedded Design Tutorial
• FPGA-based Acceleration for Convolutional Neural Networks on PYNQ-Z2