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https://github.com/coderonion/cuda-beginner-course-cpp-version

bilibili视频【CUDA 12.x 并行编程入门(C++版)】配套代码
https://github.com/coderonion/cuda-beginner-course-cpp-version

cpp cublas cuda cuda-programming cudnn gpu gpu-programming nvcc nvidia parallel-programming python rust

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bilibili视频【CUDA 12.x 并行编程入门(C++版)】配套代码

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# CUDA-Beginner-Course-CPP-Version

# CUDA 12.x 并行编程入门(C++版)



***Note that this repository is under active development.***



## Progress

| Section | Videos                                                       | Codes                                         |

| :------ | :----------------------------------------------------------- | :-------------------------------------------- |

| 01      | [第1集 CUDA介绍及Windows开发环境安装](https://www.bilibili.com/video/BV1Sj411H7Qq/) | /                                            |

| 02      | [第2集 Ubuntu系统下安装CUDA开发环境](https://www.bilibili.com/video/BV1je411U7yX/) | /                                            |

| 03      | [第3集 Windows和Ubuntu下运行第一个CUDA程序](https://www.bilibili.com/video/BV1oc411x7Gt/) | [course01_hello_cuda](./course01_hello_cuda/) |

| 04      | [第4集 你好, CUDA!](https://www.bilibili.com/video/BV1jueweLEQ1/) | [course01_hello_cuda](./course01_hello_cuda/) |

|         |                                                              |                                               |



## Todo



- [ ] ...



## Acknowledgements



Thanks for the following excellent public learning resources.



- [codingonion/awesome-cuda-and-hpc](https://github.com/codingonion/awesome-cuda-and-hpc)  : A collection of some awesome public CUDA, cuBLAS, TensorRT and High Performance Computing (HPC) projects.



- [NVIDIA CUDA Toolkit Documentation](https://docs.nvidia.com/cuda/) : CUDA Toolkit Documentation.



- [NVIDIA CUDA C++ Programming Guide](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html) : CUDA C++ Programming Guide.



- [NVIDIA CUDA C++ Best Practices Guide](https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/index.html) : CUDA C++ Best Practices Guide.



- [NVIDIA/cuda-samples](https://github.com/NVIDIA/cuda-samples)  : Samples for CUDA Developers which demonstrates features in CUDA Toolkit.



- [NVIDIA/CUDALibrarySamples](https://github.com/NVIDIA/CUDALibrarySamples)  : CUDA Library Samples.



- [NVIDIA-developer-blog/code-samples](https://github.com/NVIDIA-developer-blog/code-samples)  : Source code examples from the [Parallel Forall Blog](http://developer.nvidia.com/parallel-forall).



- [HeKun-NVIDIA/CUDA-Programming-Guide-in-Chinese](https://github.com/HeKun-NVIDIA/CUDA-Programming-Guide-in-Chinese)  : This is a Chinese translation of the CUDA programming guide. 本项目为 CUDA C Programming Guide 的中文翻译版。



- [cuda-mode/lectures](https://github.com/cuda-mode/lectures)  : Material for cuda-mode lectures.



- [cuda-mode/resource-stream](https://github.com/cuda-mode/resource-stream)  : CUDA related news and material links.



- [brucefan1983/CUDA-Programming](https://github.com/brucefan1983/CUDA-Programming)  : Sample codes for my CUDA programming book.



- [YouQixiaowu/CUDA-Programming-with-Python](https://github.com/YouQixiaowu/CUDA-Programming-with-Python)  :  关于书籍CUDA Programming使用了pycuda模块的Python版本的示例代码。



- [QINZHAOYU/CudaSteps](https://github.com/QINZHAOYU/CudaSteps)  : 基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。



- [sangyc10/CUDA-code](https://github.com/sangyc10/CUDA-code)  : bilibili视频【CUDA编程基础入门系列（持续更新）】配套代码。



- [RussWong/CUDATutorial](https://github.com/RussWong/CUDATutorial)  : A CUDA tutorial to make people learn CUDA program from 0.



- [DefTruth//CUDA-Learn-Notes](https://github.com/DefTruth/CUDA-Learn-Notes)  : 🎉CUDA/C++ 笔记 / 大模型手撕CUDA / 技术博客，更新随缘: flash_attn、sgemm、sgemv、warp reduce、block reduce、dot product、elementwise、softmax、layernorm、rmsnorm、hist etc.



- [BBuf/how-to-optim-algorithm-in-cuda](https://github.com/BBuf/how-to-optim-algorithm-in-cuda)  : how to optimize some algorithm in cuda.



- [PaddleJitLab/CUDATutorial](https://github.com/PaddleJitLab/CUDATutorial)  : A self-learning tutorail for CUDA High Performance Programing. 从零开始学习 CUDA 高性能编程。



- [leimao/CUDA-GEMM-Optimization](https://github.com/leimao/CUDA-GEMM-Optimization)  : [CUDA Matrix Multiplication Optimization](https://leimao.github.io/article/CUDA-Matrix-Multiplication-Optimization/). This repository contains the CUDA kernels for general matrix-matrix multiplication (GEMM) and the corresponding performance analysis.



- [Liu-xiandong/How_to_optimize_in_GPU](https://github.com/Liu-xiandong/How_to_optimize_in_GPU)  : This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.



- [Bruce-Lee-LY/matrix_multiply](https://github.com/Bruce-Lee-LY/matrix_multiply)  : Several common methods of matrix multiplication are implemented on CPU and Nvidia GPU using C++11 and CUDA.



- [Bruce-Lee-LY/cuda_hgemm](https://github.com/Bruce-Lee-LY/cuda_hgemm)  : Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.



- [Bruce-Lee-LY/cuda_hgemv](https://github.com/Bruce-Lee-LY/cuda_hgemv)  : Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.



- [enp1s0/ozIMMU](https://github.com/enp1s0/ozIMMU)  : FP64 equivalent GEMM via Int8 Tensor Cores using the Ozaki scheme. [arxiv.org/abs/2306.11975](https://arxiv.org/abs/2306.11975)



- [Cjkkkk/CUDA_gemm](https://github.com/Cjkkkk/CUDA_gemm)  : A simple high performance CUDA GEMM implementation.



- [AyakaGEMM/Hands-on-GEMM](https://github.com/AyakaGEMM/Hands-on-GEMM)  : A GEMM tutorial.



- [AyakaGEMM/Hands-on-MLIR](https://github.com/AyakaGEMM/Hands-on-MLIR)  : Hands-on-MLIR.



- [zpzim/MSplitGEMM](https://github.com/zpzim/MSplitGEMM)  : Large matrix multiplication in CUDA.



- [jundaf2/CUDA-INT8-GEMM](https://github.com/jundaf2/CUDA-INT8-GEMM)  : CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API.



- [chanzhennan/cuda_gemm_benchmark](https://github.com/chanzhennan/cuda_gemm_benchmark)  : Base on gtest/benchmark, refer to [https://github.com/Liu-xiandong/How_to_optimize_in_GPU](https://github.com/Liu-xiandong/How_to_optimize_in_GPU).



- [YuxueYang1204/CudaDemo](https://github.com/YuxueYang1204/CudaDemo)  : Implement custom operators in PyTorch with cuda/c++.



- [CoffeeBeforeArch/cuda_programming](https://github.com/CoffeeBeforeArch/cuda_programming)  : Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch.



- [rbaygildin/learn-gpgpu](https://github.com/rbaygildin/learn-gpgpu)  : Algorithms implemented in CUDA + resources about GPGPU.



- [godweiyang/NN-CUDA-Example](https://github.com/godweiyang/NN-CUDA-Example)  : Several simple examples for popular neural network toolkits calling custom CUDA operators.



- [yhwang-hub/Matrix_Multiplication_Performance_Optimization](https://github.com/yhwang-hub/Matrix_Multiplication_Performance_Optimization)  : Matrix Multiplication Performance Optimization.



- [yao-jiashu/KernelCodeGen](https://github.com/yao-jiashu/KernelCodeGen)  : GEMM/Conv2d CUDA/HIP kernel code generation using MLIR.



- [caiwanxianhust/ClusteringByCUDA](https://github.com/caiwanxianhust/ClusteringByCUDA)  : 使用 CUDA C++ 实现的一系列聚类算法。



- [ulrichstern/cuda-convnet](https://github.com/ulrichstern/cuda-convnet)  : Alex Krizhevsky's original code from Google Code. "微信公众号「人工智能大讲堂」《[找到了AlexNet当年的源代码，没用框架，从零手撸CUDA/C++](https://mp.weixin.qq.com/s/plxXG8y5QlxSionyjyPXqw)》"。



- [PacktPublishing/Learn-CUDA-Programming](https://github.com/PacktPublishing/Learn-CUDA-Programming)  : Learn CUDA Programming, published by Packt.



- [PacktPublishing/Hands-On-GPU-Programming-with-Python-and-CUDA](https://github.com/PacktPublishing/Hands-On-GPU-Programming-with-Python-and-CUDA)  : Hands-On GPU Programming with Python and CUDA, published by Packt.



- [PacktPublishing/Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA](https://github.com/PacktPublishing/Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA)  : Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt.



- [codingonion/cuda-beginner-course-cpp-version](https://github.com/codingonion/cuda-beginner-course-cpp-version)  : bilibili视频【CUDA 12.x 并行编程入门(C++版)】配套代码。



- [codingonion/cuda-beginner-course-python-version](https://github.com/codingonion/cuda-beginner-course-python-version)  : bilibili视频【CUDA 12.x 并行编程入门(Python版)】配套代码。



- [codingonion/cuda-beginner-course-rust-version](https://github.com/codingonion/cuda-beginner-course-rust-version)  : bilibili视频【CUDA 12.x 并行编程入门(Rust版)】配套代码。