A Taichi-powered high-performance numerical simulator for multiscale and multifield geophysical problems
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Updated
Jul 24, 2024 - Python
A Taichi-powered high-performance numerical simulator for multiscale and multifield geophysical problems
A topology optimization framework written in Taichi programming language.
This project consisits of several implementations of COCO format dataset validation between ground truths and predictions. It is designed to highlight the superpower of python libraries for big computations and its integration with other languages like C++.
Calculate average structure factor from pdb files. Implemented CPU-based parallelization using numba and cuda-acceleration by Taichi. Codes belongs to Siepmann Group, University of Minnesota. Author of original code: Paul Qile Chen. Contributors: Don Zhengyuan Shen; Andrew Yangzesheng Sun
Implementing Two Shaders Using Python Taichi
simple ray tracer
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