Aurora

Overview

Aurora is an emulator designed for analyzing BRAM write distribution on FPGA. It provides a framework for simulating and visualizing the behavior of BRAMs (Block RAMs) under different conditions and configurations.

Features

• Emulation of BRAM write distribution in FPGA circuits.
• Support for multiple strategies and configurations.
• Visualization of BRAM usage and write distribution.

Getting Started

Prerequisites

• Python 3.x
• Required Python libraries: numpy, seaborn, matplotlib

Installation

Clone the repository:

git clone https://github.com/HaoZhang-Ethan/Aurora.git

Install the required Python libraries:

pip install numpy seaborn matplotlib

Usage

Run the main script to start the emulator:

python main.py

File Structure

Aurora/
│
├── main.py               - Main script to start the emulator.
├── read_activate.py      - Module for reading and processing activation data.
├── read_circuit.py       - Module for parsing circuit information.
├── simulator.py          - Core simulation logic for BRAM emulation.
├── type.py               - Defines types and constants used in the project.
└── LICENSE               - The MIT License for the project.

Modules Description

• main.py: Orchestrates the emulation process, integrating various modules.
• read_activate.py: Handles the reading of activation data for the simulation.
• read_circuit.py: Parses and processes circuit information for emulation.
• simulator.py: Contains the simulation algorithms for BRAM write distribution.
• type.py: Defines the data structures and constants used across the project.

Contributing

Contributions to Aurora are welcome. Please read the contribution guidelines before submitting a pull request.

License

This project is licensed under the MIT License.