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cuCALC

cuCALC is a high-performance numerical calculus library implemented in CUDA


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Table of Contents
  1. About The Project
  2. Usage
  3. Building
  4. Contributing
  5. License
  6. Contact
  7. Acknowledgments

Features

  • Utilizes CUDA to parallelize calculus operations, offering significant speed improvements over CPU-based libraries.
  • Includes functions for differentiation, integration, In future releases will cover optimization, and differential equations.
  • Designed with modularity in mind, allowing for easy integration of new algorithms and functions.
  • Works on various operating systems supporting CUDA

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Roadmap

  • Optimizations and differential equations
  • Supports various precision floating-point operations.

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE for more information.

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Contact

Project Link: https://github.com/dhmnr/cuCALC

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Acknowledgments

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About

cuCALC is a high-performance numerical calculus library implemented in CUDA

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