🚀 jetson-orin-matmul-analysis - Fast GPU Benchmarking Made Easy

🛠️ Overview

The jetson-orin-matmul-analysis is a scientific CUDA benchmarking tool designed for the Jetson Orin Nano. It features four different implementations evaluated under three power modes across five matrix sizes. With a peak performance of 1,282 GFLOPS and 90% efficiency at 25W, this tool provides accurate insights for edge AI deployment.

📋 Features

• Performance Metrics: Measure and analyze GPU performance.
• Power Modes: Evaluate efficiency across different power settings.
• Matrix Sizes: Test various matrix sizes for versatility.
• Accuracy Validation: Achieve 99.5% validation accuracy.
• Edge AI Guide: Access a comprehensive guide for deploying AI applications.

📥 Download & Install

To get started, visit the releases page linked below to download the latest version of the application.

Download Latest Release

Installation Steps

1. Visit the Releases Page: Click the link above to navigate to the release page.
2. Select the Latest Version: Choose the most recent release from the list.
3. Download the Application: Click on the appropriate file for your system.
4. Locate the Downloaded File: Check your downloads folder for the file.
5. Run the Application: Double-click the file to start the benchmarking process.

🖥️ System Requirements

• Operating System: Requires Linux-based OS compatible with Jetson Orin Nano.
• CUDA: Install CUDA toolkit compatible with the Jetson platform.
• Memory: At least 4GB of RAM recommended.
• Storage: 1GB of free disk space required.

🔍 Usage Instructions

Running the Benchmark

1. Ensure your Jetson Orin Nano is set up and connected.
2. Open a terminal window.
3. Navigate to the folder where the application is extracted.
4. Execute the application by typing ./your_application_file_name in the terminal.

Understanding Results

• The application will display performance metrics after the benchmark completes.
• Review the output for efficiency ratings, power consumption, and execution time.

🌐 Support & Documentation

For more detailed usage instructions and guides, please refer to the official documentation.

🛠️ Development and Contributions

• If you wish to contribute, please open an issue or submit a pull request on GitHub.
• Stay updated and report bugs through the repository.

📞 Contact

For any queries or support, reach out via the Issues section of this repository.

⚙️ Additional Resources

• CUDA Toolkit Installation: NVIDIA CUDA Toolkit
• Jetson Developer Resources: NVIDIA Developer Zone

Remember to always check for the latest version on the releases page to access new features and improvements.

Download Latest Release