Productive, portable, and performant GPU programming in Python.
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Updated
Dec 23, 2024 - C++
Productive, portable, and performant GPU programming in Python.
A high-performance, zero-overhead, extensible Python compiler using LLVM
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
A General-purpose Task-parallel Programming System using Modern C++
⚓ 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.
🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
Sample codes for my CUDA programming book
The write-once-run-anywhere GPGPU library for Rust
CUDA Core Compute Libraries
Computations and statistics on manifolds with geometric structures.
🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
💿 CD Content ( Source Code ) Collection of Book <GPU Gems > 1~ 3 | 《GPU精粹》 1~ 3 随书CD(源代码)珍藏
💿 Source Code Collection of Book <GPU Pro> 1~ 7 | 《GPU Pro》1~ 7 书本源代码珍藏
Robust real-time rendering engine on DX11, DX12 with many advanced graphical features for quick prototyping
Vulkan Real-time Path Tracer Engine
Modern GPU Compute and Rendering in Javascript
🏃♂️💨 GPU accelerated STARK prover built on @arkworks-rs
Vulkan compute for people
OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.
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