
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.
Design a verification environment for a combinational 4-bit multiplier by building Mul module with two 4-bit inputs and an 8-bit output, using multiplication and continuous assignment, with dump.vcd for GTKWave.
Design and verify a D flip-flop sequential circuit by building a verification environment, wiring clock, reset, D_in, and D_out, and analyzing results with GTKWave system tasks.
Build a verification environment for a D flip-flop, apply stimulus, wait two clock ticks, sample the output, and compare it with the input to confirm correct behavior.
Construct a PyUVM verification environment for a D flip-flop, wiring generator, monitor, driver, and scoreboard through queues; apply stimuli, sample D_in and D_out, and report pass or fail.
Set up a verification test bench with queues between monitor-scoreboard and generator-driver, and perform fifo read/write transactions after reset to verify data and reach a test pass.
Design a verification environment for an SPI interface, modeling a transaction with D in data and MOSI transmission under a slowed S clock, controlled by chip select.
Design and verify a spi slave that converts 12-bit serial data from a master into parallel data, using a simple fsm and done signaling.
Modify the test bench to support both master and slave SPI transactions, using random D in values, a driver, and a scoreboard for D in versus D out.
Explore the I2C write and read transactions, including start condition, 7-bit or 10-bit addressing, MSB-first data, acknowledgments, and stop conditions.
Implement an I2C master finite state machine that handles start, address, write/read operations, acknowledgments, and stop sequences with open-drain SDA control.
Explore building a Python object-oriented I2C master verification environment, detailing start, stop, read/write operations, SDA/SCL signaling, and a multi-state FSM with acknowledgments.
Create I2C verification environment by adding data members for ports and randomizing operation type, address, and D, with address fixed at 1 and D within 50, using print_in and print_out.
Build a verification environment for a dut by simulating transmitter and receiver with random data on dtx and rx, using generator, driver, and scoreboard to compare golden data.
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.