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Taichi is an open-source, embedded DSL within Python designed for high-performance numerical and physical simulations. It uses JIT compilation (via LLVM and its runtime TiRT) to offload compute-heavy code to CPUs, GPUs, mobile devices, and embedded systems. With built-in support for sparse data structures (SNode), automatic differentiation, AOT deployment, and compatibility with CUDA, Vulkan, Metal, and OpenGL ES, it empowers disciplines like simulation, graphics, AI, and robotics
Features
- JIT-to-native-code execution on CPU/GPU via LLVM
- SNode for hierarchical, spatially sparse data
- Automatic differentiation (e.g. for robotics/optimization)
- AOT + C/C++/C#/Java interface for native integration
- Cross-backend deployment: CUDA, Vulkan, Metal, OpenGL ES
- Portable to mobile & embedded via TiRT and WASM
Project Samples
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GraphicsLicense
Apache License V2.0Follow Taichi
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