UnityChip For XiangShan Processor

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This project aims to perform unit testing (Unit Test, UT) on the Kunminghu architecture of the XiangShan Processor through open-source crowdsourcing. Python is chosen as the primary verification language for this project. By participating in the verification, you will learn the following:

1. Circuit Characteristics: Observe the characteristics of circuits from a software perspective and gain an in-depth understanding of circuit design principles.
2. High-Performance CPU Design: Learn the Chisel hardware description language, study related code and papers, and master the latest CPU architectural design concepts.
3. Chip Verification: Familiarize yourself with specification documents (Spec documents), learn how to perform UT verification, and evaluate the rationality of verification results.
4. Python Verification: Master advanced programming patterns such as asynchronous programming and callbacks, and use Python for chip verification.
5. Linux Experience: Learn basic Linux commands and set up the verification environment.

This project welcomes contributions in various aspects and will provide rewards (such as bonuses, certificates, internship opportunities, etc.) within a certain period. Specific types of contributions include:

• # 1: Create test cases, including functional point-specific test code with annotations, as well as accompanying documentation.
• # 2: Identify and report bugs in the Xiangshan Processor (additional rewards may be granted for root cause analysis and repair suggestions).
• # 3: Develop verification documentation, including specification documents, user manuals, functional description documents for the Design Under Test (DUT), and related materials.
• # 4: Miscellaneous contributions, such as implementing new features or enhancements for tools used in this project.

UnityChip project website: https://open-verify.cc

We look forward to your participation!

Quick Start

Refer to the Environment Preparation to set up the basic environment, and then run the following commands:

git clone [email protected]:XS-MLVP/UnityChipForXiangShan.git
cd UnityChipForXiangShan
pip3 install -r requirements.txt
make all

The above commands will automatically perform the following operations:

1. Download the RTL code;
2. Compile all available modules to be verified;
3. Search for all Python files starting with test_ in the ut_* directories and run the test cases starting with test_ in them;
4. Generate test reports (the test reports are located in the out directory);
5. Update statistical data.

*By default, tests that are too time-consuming will be skipped. You can run all test cases by setting CFG=configs/noskip.yaml， eg:

make all CFG=configs/noskip.yaml

Display Docs and Data Locally

Follow the Documentation Deployment Instructions to set up the hugo environment, and then execute:

cd UnityChipForXiangShan
make doc

After executing the above commands, you will see output similar to:

Running in Fast Render Mode. For full rebuilds on change: hugo server --disableFastRender
Web Server is available at //localhost:1313/ (bind address 0.0.0.0)
Press Ctrl+C to stop

At this point, you can access the provided address (http://127.0.0.1:1313) through your browser.

Test In Docker

To quickly run tests using Docker, you can execute the following commands:

sudo docker pull ghcr.io/xs-mlvp/uc4xs:latest # Pull the image
sudo docker run -p 1313:1313 -it --rm ghcr.io/xs-mlvp/uc4xs:latest /home/run_ci.sh # Run the tests

The run_ci.sh script in the container will perform the following actions:

1. Update picker to the latest version
2. Download this repository and install Python dependencies
3. Run make CFG=configs/ci.yaml args="-n auto" to execute tests
4. Run make doc to generate documentation (test report)

The Docker image includes tools such as cmake, verilator, verible, and swig, so you can use the Docker image as a development environment for test cases:

sudo docker pull ghcr.io/xs-mlvp/uc4xs:latest                  # Pull the Docker image
# Run bash in Docker and mount your working directory
sudo docker run -v /path/to/your/local/workspace:/home/workspace -it ghcr.io/xs-mlvp/uc4xs:latest /bin/bash
# Execute in Docker's bash environment
bash /home/update_picker.sh                                    # Update picker to the latest version
cd /home/workspace                                             # Change to the working directory
git clone https://github.com/XS-MLVP/UnityChipForXiangShan.git # Clone the repository
cd UnityChipForXiangShan                                       # Enter the repository
pip3 install --force-reinstall -r requirements.txt             # Update Python dependencies
# Test if the Docker development environment is working properly
make all

For more Docker commands, please refer to: https://docs.docker.com/reference/cli/docker/

Maintenance

When submitting an Issue, Pull Request, or Discussion (Please delete irrelevant parts of the template as needed), specifying the corresponding module's maintainer can help get a quicker response. For the current list of maintainers, please refer to this link.

If you are interested in this project, you are welcome to become a maintainer.

Additional Information

• Code of Conduct: CODE_OF_CONDUCT.md
• How to Contribute: CONTRIBUTING.md
• Security Issues: SECURITY.md

For more information, please visit: https://open-verify.cc/UnityChipForXiangShan

UnityChip QQ Group: