Taichi Blogs

In my last blog, I compared the purposes and design philosophies of Taichi Lang and PyTorch. Now, it's time to take a closer look at their data containers - the most essential part of any easy-to-use programming language.

"How does Taichi differ from PyTorch? They are both embedded in Python and can run on GPU! And when should I choose Taichi over PyTorch or the other way around?"

It has been more than three years since I started working on a brand new programming language, Taichi-Lang, which is embedded in Python (but can perfectly run independently of Python) and designed for high-performance numerical computation. Two months ago, Taichi 1.0 was released, which is indeed a milestone for me personally and for our entire community. From an immature academic idea to an open-source project that has attracted hundreds of contributors, Taichi is committed to making graphics programming easier for content creators.

Hey guys! Welcome to my first Taichi cooking session!

With the generated gradient information, a differentiable physical simulator can make the convergence of the machine learning process one order of magnitude faster than gradient-free algorithms, such as model-free reinforcement learning.

As you may already know, ETH Zürich is a world-class university constantly ranked among the top 1 to 5 in Europe.

On a Sunday afternoon about a couple of months ago, when Ye and I were on our way back from a long week of travel, we decided to do something to relax on the train ( to kill time). Since we happened to mention Minecraft and MagicaVoxel, we decided to do a Hackathon, where we use Taichi Lang to create a GPU path tracing voxel renderer. Soon, before we were back home, we had our prototype:

In our recently published blog Is Taichi Lang able to make better use of the underlying hardware than other native, low-level programming languages? With this question in mind, we kick-started the benchmark project in an attempt to provide a comprehensive and accurate performance evaluation of Taichi Lang.

Physical simulation, which Taichi Lang is best at, has wide applications on mobile devices, such as real-time physically-based interactions in mobile games or cool visual effects in short videos. This is thanks to Taichi's features such as fast prototyping and cross-platform GPU acceleration.

In the previous blog post, we mentioned this sentence, which is a part of the zen of Python. In this post, we will show you how we simplified the code of Taichi.