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Taichi Blogs

Taichi & PyTorch 03: Accelerate PyTorch with Taichi - Data Preprocessing & High-performance ML Operator Customization
15 septembre 2022 | Ailing ZhangHaidong Lan
Our previous blogs (Taichi & PyTorch 01 and 02) pointed out that Taichi and Torch serve different application scenarios can they complement each other? And the answer is an unequivocal yes! In this blog, we will use two simple examples to explain how to use Taichi kernel to implement data preprocessing operators or custom ML operators. With Taichi, you can accelerate your ML model development with ease and get rid of the tedious low-level parallel programming (CUDA for example) for good.
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Accelerate Python code 100x by import taichi as ti
23 août 2022 | Yuanming Hu
Python has become the most popular language in many rapidly evolving sectors, such as deep learning and data sciences. Yet its easy readability comes at the cost of performance. Of course, we all complain about program performance from time to time, and Python should certainly not take all the blame. Still, it's fair to say that Python's nature as an interpreted language does not help, especially in computation-intensive scenarios (e.g., when there are multiple nested for loops).
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Taichi & PyTorch 02: Data containers
15 août 2022 | Ailing Zhang
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.
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Taichi & PyTorch 01: Underlying difference
8 août 2022 | Ailing Zhang
"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?"
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From molecular simulation to black hole rendering - Taichi Lang makes life easier for digital content creators
29 juillet 2022 | Yuanming Hu
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.
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Taichi Cookbook 001
27 juillet 2022 | Yuanming Hu
Hey guys! Welcome to my first Taichi cooking session!
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Training a magic fountain using Taichi's autodiff, an efficient tool for differentiable physical simulation
14 juillet 2022 | Mingrui Zhang
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.
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ETH Zürich uses Taichi Lang in its Physically-based Simulation course (AS 21)
8 juillet 2022 | Yuanming Hu
As you may already know, ETH Zürich is a world-class university constantly ranked among the top 1 to 5 in Europe.
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How I created the tranquil autumn air within 99 lines of Python code
16 mai 2022 | Yuanming Hu
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:
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Is Taichi Lang comparable to or even faster than CUDA?
6 mai 2022 | Haidong Lan
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.
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