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131 public repositories
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Productive & portable programming language for high-performance, sparse & differentiable computing
Modern C++ Parallel Task Programming
A GPU-powered real-time analytics storage and query engine.
⚓ 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
Emu is a modern library for low-level, cross-platform GPGPU enabling on-device, reproducible, privacy-focused compute
Updated
Apr 23, 2020
Rust
💿 CD Content ( Source Code ) Collection of Book <GPU Gems > 1~ 3 | 《GPU精粹》 1~ 3 随书CD(源代码)珍藏
Computations and statistics on manifolds with geometric structures.
Updated
Jul 27, 2020
Jupyter Notebook
A Curious Cumulation of CUDA Cuisine
Updated
Jun 22, 2020
Julia
💿 Source Code Collection of Book <GPU Pro> 1~ 7 | 《GPU Pro》1~ 7 书本源代码珍藏
Updated
Dec 17, 2019
GLSL
Sample codes for my CUDA programming book
Vulkan compute for people
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
FastFlow pattern-based parallel programming framework (formerly on sourceforge)
Lua libraries for graphics and audio programming
Source of the Volumetric Lines Asset from Unity's Asset Store
A collection of Metal and MetalKit projects and resources. Very much work in progress.
Collection of notes on how to use Apple’s Metal API for compute tasks
Concurrent CPU-GPU Programming using Task Models
Learn OpenCL step by step.
CUDA kernel author's tools
Updated
May 13, 2020
Cuda
SpvGenTwo is a SPIR-V building and parsing library written in plain C++17 without any dependencies. No STL or other 3rd-Party library needed.
Online CUDA Occupancy Calculator
Updated
Jan 16, 2018
CoffeeScript
Simple example of using Vulkan for GPGPU computing
Massively Parallel Huffman Decoding on GPUs
Game Engine for Windows by Vulkan SDK
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.
Updated
Dec 12, 2018
Python
CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.
pyCUDA implementation of forward propagation for Convolutional Neural Networks
Updated
Jan 4, 2019
Python
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