Taichi, a perfect programming framework for computer graphics courses.
In Fall 2021, the Computer Graphics Laboratory (CGL) at ETH Zurich offered a course on physically based simulation, which requires students to create a small game or a demo scene using techniques they learned in class. The vast majority of the student groups chose the Taichi programming language for real-time physical simulation.
Select an efficient parallel programming language and use it to implement a physically based simulation project.
Seamlessly embedded in Python: Easier to learn, more intuitive, and as fast as CUDA.
Taichi's GGUI system makes 3D rendering a breeze.
A single-source framework: Automatically falls back to CPUs if your system doesn't have CUDA or a powerful GPU.
An active community and a wide range of reference code make it easy to get started.
90% of the projects chose Taichi, and all were completed with flying colors.
Achieved comparable performance to C++/CUDA with much less code.
Requests for improvement: The future
- Enriched GGUI tooling.
- More descriptive error reports.
- Move comprehensive benchmark reports.
- Further reduced compile time.