v1.0.1-ae (Artifact Evaluation Release)

🚀 Overview
This is the initial release for the Artifact Evaluation (AE) of our paper. This repository provides a complete environment and automated scripts to reproduce the performance
comparison experiments between different verification methodologies.

🛠 Key Features

• Experiment Group A: Comprehensive comparison among cocotb, python-dpi, python-vpi, and python-mem_direct.
• Experiment Group B: Multilang performance analysis across raw-verilator, python, cpp, java, and golang.
• Hardware Targets: Supported DUTs include Rocket (SimTop), coupledL2 (TestTop), and XS (SimTop).
• Optimized for AE:
  • Dockerized Environment: Fully containerized setup via ghcr.io/makiras/unitychipexp:latest or local Dockerfile for a "one-click" experience.

📋 Quick Start for Reviewers

1. Pull Docker Image: sudo docker pull ghcr.io/makiras/unitychipexp:latest
2. Run Experiments:
   • Follow the Reproduction Guide in README.md.
   • Use ./scripts/run_experiments.py to automate the benchmarking process.
3. Analyze Results: Metrics and logs are automatically generated in the results/ directory.

sudo docker pull ghcr.io/makiras/unitychipexp:latest
sudo docker run --rm -it ghcr.io/makiras/unitychipexp:latest

cd /home/xyl/exp
# It may be necessary to adjust the taskset CPU core number.
# Quick Check
./scripts/A_without_XS.sh
./scripts/B_without_XS.sh
# Full Check ( more than 1 days )
# ./scripts/A_with_XS.sh
# ./scripts/B_with_XS.sh