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CUDA C++ package for Sublime Text 2 & 3

License: BSD 3-Clause "New" or "Revised" License

sublime-text cuda tmlanguage snippets

sublimetext-cuda-cpp's Introduction

sublimetext-cuda-cpp

CUDA C++ package for Sublime Text 2 & 3

Syntax Highlighting

Currently supports highlighting of all CUDA C/C++ syntax defined in Appendices B and C of the NVIDIA CUDA C Programming Guide (CUDA Toolkit v6.0).

Snippets

Execution Configuration: <<< + [TAB] --> <<<gridDim, blockDim, sharedBytes, streamId>>>() with tab stops on each of the arguments.
__syncthreads(): __s + [TAB]
cudaMalloc: cmal --> cudaMalloc((void**)&variable, bytes);
cudaMallocManaged: cmalmng --> cudaMallocManaged((void**)&variable, bytes);
cudaMemcpy: cmem --> cudaMemcpy(dest, src, bytes, cudaMemcpyHostToDevice);
Kernel function prototype: kernel --> __global__ void kernel() with tab stops on the function name and inside the parentheses.
All existing snippets from the C++ package included with Sublime Text 2/3

Installation

Easy

Install via Package Control

Hard

At a git-enabled command prompt, cd to Sublime Text 2 packages directory:
OS X: ~/Library/Application Support/Sublime Text 2/Packages/User
- Windows: %APPDATA%\Sublime Text 2\Packages\User
- Linux: ~/.config/sublime-text-2/Packages/User
Install by cloning the repository to your Sublime Text 2 Packages directory:

git clone git://github.com/harrism/sublimetext-cuda-cpp.git

Restart Sublime Text afterwards, switch to CUDA C++ as highlighting profile and try it out with one of the commands above.

Contributing

If you want to contribute to this package, please make syntax changes in the cuda-c++.JSON-tmLanguage file, NOT in the cuda-c++.tmLanguage file. I use the AAAPackageDev package for Sublime text to make development easier, including converting JSON to plist (XML) format.

sublimetext-cuda-cpp's People

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javarange tsingke aroben sgarizvi abhishekgahlot acranbury pombreda litleo liqiang0330 leliaonvidia jresch crystalbobby

sublimetext-cuda-cpp's Issues

invoking kernel with three arguments

After invoking a kernel with block dimensions, grid dimensions and shared memory size the following syntax highlighting is broken. When only using two arguments everything works as expected.

Sublime Text 3 support

The description of this repository says "CUDA C++ package for Sublime Text 2" while the readme says "CUDA C++ package for Sublime Text 2 & 3".

This is not a big deal, but since the description is also shown in Package Control in Sublime, it suggests that this package does not work in Sublime 3.

Could you update the description of the repository?

Error loading syntax file "Packages/CUDA C++/cuda-c++.tmLanguage": Empty language names are not allowed

Sublime V 2.0.2
Installed the package through Package Control. Problem still persists on cloning repo.

Get the error whenever I open a ".cu" or ".cuh" file. The file ends up having no syntax highlighting. Am I doing something wrong?

"error: Error loading syntax file "Packages/CUDA C++/cuda-c++.tmLanguage": Empty language names are not allowed"

suffixes

Hello Harrism,

I have one problem about current cuda plugin. The "scope" in all snippets doesn't support the the file with ".cu" suffix, which is the default suffix in cuda. However, in your plugin, only ".cuda-c++" is supported, which is not recognized by "nvcc". If I use ".cu" as the source file suffix, many snippets in this plugin don't work.

Could you tell me how can I change the settings of this plugin?

Any help would be much appreciated!

Wei

cuda-c++.sublime-build uses g++ instead of nvcc

I believe it should invoke nvcc to interpret the cuda commands properly instead of g++

Add Install Info to Readme

For Sublime Text 2 novices, as I am one, maybe a short instruction of how to install this package would be nice? Like this one:

Installation
--------
Install by cloning the repository to your Sublime Text 2 Packages directory. Restart Sublime Text afterwards, switch to CUDA C++ as highlighting profile and try it out with one of the commands above.

(Thank you for this package :)!)

Syntax breaks when you have `a->b()` as a kernel launch argument

void launchMyKernel(MyKernelParams *kernelParams, void *data)
{
    printf("About to launch kernel ...\n");
    my_kernel<<<1, kernelParams->blockSize()>>>(data);
    printf("Kernel launched.\n");
}