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PyUVM Series Part 4 : Python OOPS verification env projects
Rating: 3.7 out of 5(3 ratings)
89 students

PyUVM Series Part 4 : Python OOPS verification env projects

Step by Step Guide from Scratch
Created byKumar Khandagle
Last updated 1/2025
English

What you'll learn

  • Verification of Combinational Circuit
  • Verification of Sequential Circuit
  • Verification of UART device
  • Verification of SPI device with and without slave
  • Verification of I2C device

Course content

7 sections55 lectures3h 28m total length
  • How to use IDE6:36
  • Code0:45
  • Components of Verification Environment3:24

    Build the verification environment with transaction, generator, driver, monitor, and scoreboard classes, using value method and DUT handler to apply randomized stimuli to the DUT and compare against golden data.

  • Learning Path1:27

Requirements

  • Fundamentals of Digital Electronics and Verilog
  • Completion of Python for VLSI Engineer P1, P2 and P3 Course or Fundamentals of Python, Python OOPs & COCOTB

Description

Welcome to our comprehensive course on Class-Based Python Verification Environment for Digital Design! In this dynamic program, participants will delve into the realm of hardware verification, focusing on UART, SPI, DFF, I2C, FIFO, and combinational multiplier Design Under Test (DUT). Leveraging the power of Python and object-oriented programming, this course equips learners with the essential skills to construct robust verification environments for these key digital components.

Throughout the course, participants will gain hands-on experience in creating modular and reusable verification components using Python classes. We will explore the intricacies of UART, SPI, DFF, I2C, FIFO, and combinational multiplier behaviors and implement comprehensive testbenches to verify their functionality. Participants will learn how to create comprehensive verification plans, write effective test cases to ensure a thorough and well-documented verification process.

By adopting a class-based approach, participants will develop a deep understanding of the underlying design principles and be well-prepared to handle complex verification scenarios.

Key topics include building a scalable testbench architecture, crafting effective stimulus generation and response checking mechanisms, and implementing advanced features such as constrained random testing.

Join us on this transformative journey, where you will not only gain expertise in class-based Python verification but also foster a holistic understanding of the digital design verification landscape. Elevate your career by mastering the skills necessary to navigate the complexities of modern digital systems and contribute effectively to the success of digital design projects.

Who this course is for:

  • If you're excited about Python and DUT verification with Python, this is the place for you.