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μ-Cuda, COVER THE LAST MILE OF CUDA. With features: intellisense-friendly, structured launch, automatic cuda graph generation and updating.

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[TOC]

MUDA

MUDA is μ-CUDA, yet another painless CUDA programming paradigm.

COVER THE LAST MILE OF CUDA

Quick Overview

Detailed Introduction And Overview [Highly Recommended] ➡️ https://mugdxy.github.io/muda-doc/

Project Templates ➡️ https://github.com/MuGdxy/muda-app, start your project with minimal effort.

#include <muda/muda.h>
#include <muda/logger.h>
#include <iostream>
using namespace muda;

int main()
{
    constexpr int N = 8;
    
    // resizable buffer
    DeviceBuffer<int> buffer;
    buffer.resize(N);
    buffer.fill(1);
    
    // std::cout like logger
    Logger logger;
    
    // parallel for loop
    ParallelFor()
        .kernel_name("hello_muda") 
        .apply(N,
      	[
            buffer = buffer.viewer().name("buffer"),
            logger = logger.viewer()
        ] __device__(int i) 
        {
            logger << "buffer(" << i << ")=" << buffer(i) << "\n";
        });
    
    logger.retrieve(std::cout); // show print on std::cout
}

Build

Cmake

$ mkdir CMakeBuild
$ cd CMakeBuild
$ cmake -S ..
$ cmake --build .

Xmake

Run example:

$ xmake f --example=true
$ xmake 
$ xmake run muda_example hello_muda

To show all examples:

$ xmake run muda_example -l

Play all examples:

$ xmake run muda_example

Copy Headers

Because muda is header-only, copy the src/muda/ folder to your project, set the include directory, and everything is done.

Macro

Macro Value Details
MUDA_CHECK_ON 1(default) or 0 MUDA_CHECK_ON=1 for turn on all muda runtime check(for safety)
MUDA_WITH_COMPUTE_GRAPH 1or0(default) MUDA_WITH_COMPUTE_GRAPH=1 for turn on muda compute graph feature

If you manually copy the header files, don't forget to define the macros yourself. If you use cmake or xmake, just set the project dependency to muda.

Tutorial

  • tutorial_zh
  • If you need an English version tutorial, please get in touch with me or post an issue to let me know.

Documentation

Documentation is maintained on https://mugdxy.github.io/muda-doc/. And you can also build the doc by yourself.

Build Document

Download and install doxygen https://www.doxygen.nl/download.html.

Install mkdocs and its plugins:

pip install mkdocs mkdocs-material mkdocs-literate-nav mkdoxy

Turn on the local server:

mkdocs serve

If you are writing the document, you can use the following command to avoid generating the API documentation all the time:

mkdocs serve -f mkdocs-no-api.yaml

Open the browser and visit the localhost:8000

To update the document on the website, run:

cd muda/scripts
python build_docs.py -o <path of your local muda-doc repo>

If you put the local muda-doc repo in the same directory as muda like:

- PARENT_FOLDER
  - muda
  - muda-doc

Then the following instruction is enough:

cd muda/scripts
python build_docs.py

Examples

All examples in muda/example are self-explanatory, enjoy it.

image-20231102030703199

Contributing

Contributions are welcome. We are looking for or are working on:

  1. muda development

  2. fancy simulation demos using muda

  3. better documentation of muda

Related Work

  • Libuipc using muda for GPU IPC simulation.

    @misc{huang2024advancinggpuipcstiff,
        title={Advancing GPU IPC for stiff affine-deformable simulation}, 
        author={Kemeng Huang and Xinyu Lu and Huancheng Lin and Taku Komura and Minchen Li},
        year={2024},
        eprint={2411.06224},
        archivePrefix={arXiv},
        primaryClass={cs.GR},
        url={https://arxiv.org/abs/2411.06224}, 
    }
    

    libuipc

  • Topological braiding simulation using muda (old version)

    @article{article,
    author = {Lu, Xinyu and Bo, Pengbo and Wang, Linqin},
    year = {2023},
    month = {07},
    pages = {},
    title = {Real-Time 3D Topological Braiding Simulation with Penetration-Free Guarantee},
    volume = {164},
    journal = {Computer-Aided Design},
    doi = {10.1016/j.cad.2023.103594}
    }

    braiding

  • solid-sim-muda: a tiny solid simulator using muda.

    solid-sim-muda

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μ-Cuda, COVER THE LAST MILE OF CUDA. With features: intellisense-friendly, structured launch, automatic cuda graph generation and updating.

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