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https://github.com/codingonion/cuda-beginner-course-rust-version

bilibili视频【CUDA 12.1 并行编程入门(Rust语言版)】配套代码
https://github.com/codingonion/cuda-beginner-course-rust-version

candle cpp cublas cuda cuda-programming cudarc cudnn gpu gpu-programming nvcc nvidia parellel-programming python rust

Last synced: 3 months ago
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bilibili视频【CUDA 12.1 并行编程入门(Rust语言版)】配套代码

Host: GitHub
URL: https://github.com/codingonion/cuda-beginner-course-rust-version
Owner: codingonion
License: mit
Created: 2024-01-21T11:22:00.000Z (10 months ago)
Default Branch: main
Last Pushed: 2024-03-18T14:42:17.000Z (8 months ago)
Last Synced: 2024-06-11T03:32:05.277Z (5 months ago)
Topics: candle, cpp, cublas, cuda, cuda-programming, cudarc, cudnn, gpu, gpu-programming, nvcc, nvidia, parellel-programming, python, rust
Language: Rust
Homepage: https://www.bilibili.com/video/BV18e411H7bY/
Size: 3.91 KB
Stars: 4
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

awesome-cuda-and-hpc - codingonion/cuda-beginner-course-rust-version - beginner-course-rust-version?style=social"/> : bilibili视频【CUDA 12.x 并行编程入门(Rust版)】配套代码。 (Learning Resources)
awesome-cuda-and-hpc - codingonion/cuda-beginner-course-rust-version - beginner-course-rust-version?style=social"/> : bilibili视频【CUDA 12.x 并行编程入门(Rust版)】配套代码。 (Learning Resources)

README

        # CUDA-Beginner-Course-Rust-Version

# CUDA 12.1 并行编程入门(Rust语言版)

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

## Progress

| Section | Videos                                                       | Codes                                         |

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

| 01      | [第1集 基于Rust的CUDA跨平台开发环境配置与测试](https://www.bilibili.com/video/BV18e411H7bY/) | [course01_hello_cuda](./course01_hello_cuda/) |

|         |                                                              |                                               |

## Todo

- [ ] ...

- [ ] ...

## Acknowledgements

Thanks for the following excellent public learning resources.

- [codingonion/awesome-cuda-tensorrt-fpga](https://github.com/codingonion/awesome-cuda-tensorrt-fpga)  : A collection of some awesome public NVIDIA CUDA, TensorRT, AMD ROCm and FPGA projects.

- [codingonion/cuda-beginner-course-cpp-version](https://github.com/codingonion/cuda-beginner-course-cpp-version)  : bilibili视频【CUDA 12.1 并行编程入门(C++语言版)】配套代码。

- [codingonion/cuda-beginner-course-rust-version](https://github.com/codingonion/cuda-beginner-course-rust-version)  : bilibili视频【CUDA 12.1 并行编程入门(Rust语言版)】配套代码。

- [codingonion/cuda-beginner-course-python-version](https://github.com/codingonion/cuda-beginner-course-python-version)  : bilibili视频【CUDA 12.1 并行编程入门(Python语言版)】配套代码。

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

- [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.

- [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。

- [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)  : B站视频教程【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-note](https://github.com/DefTruth/cuda-learn-note)  : 🎉CUDA 笔记 / 高频面试题汇总 / C++笔记，个人笔记，更新随缘: sgemm、sgemv、warp reduce、block reduce、dot product、elementwise、softmax、layernorm、rmsnorm、hist etc.

- [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.

- [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)

- [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.

- [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.

- [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.

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

- [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.