Welcome to WarpTorch Documentation
Welcome to the official WarpTorch documentation! This blog will keep you updated with the latest developments, tutorials, and research in GPU-accelerated general relativity simulations.
What is WarpTorch?
WarpTorch is a high-performance, GPU-accelerated General Relativity toolkit designed for simulating, analyzing, and visualizing warp drive spacetimes. By porting and optimizing numerical relativity methods to modern PyTorch, we enable physicists and enthusiasts to solve Einstein's field equations at unprecedented speeds.
Key Features
- Massive Acceleration: GPU-accelerated tensor computations with CUDA, ROCm, and Intel Arc support
- Comprehensive Library: Vectorized implementations of classical and novel warp metrics
- Advanced Solvers: 4th-order finite difference stencils for Einstein's field equations
- Web-Ready Export: JSON exporters for WebGL frontend integration
Getting Started
Check out our quick start guide to get started with WarpTorch. Whether you prefer interactive 3D visualization in your browser or direct Python programming in Jupyter Lab, we have you covered.
Stay Tuned
Follow this blog for:
- Tutorials: Step-by-step guides for warp drive simulations
- Research Updates: Latest developments in warp drive physics
- Performance Tips: Optimize your simulations for maximum speed
- Community Highlights: Interesting projects from the WarpTorch community
Join the Community
- GitHub: https://github.com/just-omar/WarpTorch
- Issues: Report bugs and request features
- Contributions: We welcome contributions from the community
Welcome aboard the WarpTorch project! 🚀
