We have hosted the application taichi in order to run this application in our online workstations with Wine or directly.


Quick description about taichi:

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


Programming Language: C++.
Categories:
Graphics

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