Productive, portable, and performant GPU programming in Python.
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Updated
Jun 11, 2024 - C++
Productive, portable, and performant GPU programming in Python.
⚓ 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.
A General-purpose Parallel and Heterogeneous Task Programming System
A high-performance, zero-overhead, extensible Python compiler using LLVM
💿 CD Content ( Source Code ) Collection of Book <GPU Gems > 1~ 3 | 《GPU精粹》 1~ 3 随书CD(源代码)珍藏
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
💿 Source Code Collection of Book <GPU Pro> 1~ 7 | 《GPU Pro》1~ 7 书本源代码珍藏
Sample codes for my CUDA programming book
🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
Computations and statistics on manifolds with geometric structures.
CUDA C++ Core Libraries
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
This is an archive of materials produced for an introductory class on CUDA programming at Stanford University in 2010
FastFlow pattern-based parallel programming framework (formerly on sourceforge)
The write-once-run-anywhere GPGPU library for Rust
Vulkan Real-time Path Tracer Engine
Vulkan compute for people
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