Using mex with CUDA

18 次查看（过去 30 天）
Jack Lee
Jack Lee 2020-7-13
评论： Joss Knight 2021-7-20
I've got CUDA and mex files running seperately in C, but when I use both in the same program it doesn't compile, I think because the associated cuda headers don't load properly when it's compiled by matlab rather than visual studio.
How do I get both of these to work together?
  2 个评论
Prabhan Purwar
Prabhan Purwar 2020-7-16
Could you please attach the code you are trying to compile for better assistance.
Jack Lee
Jack Lee 2020-7-16
My current problem is that when I use mexCUDA, I get the error "nvcc fatal : Unsupported gpu architecture 'compute_30'".
I'm using 2020 matlab, and I've tried the 11.0 and 9.1 cuda toolkits. My Gpu's a GeForce MX130.
I'm compiling a simple program just by calling mexcuda on it, so I don't think that's the issue, and from researching it seems that a fix is to remove a line from "makefile.config" or something, but I can't find the file to change.
Any help would be appreciated.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（2 个）

Prabhan Purwar
Prabhan Purwar 2020-7-20
Hi,
Check the GPU and CUDA version supported by MATLAB current release from NVIDIA's website.
Install CUDA
CUDA - Getting Started on Windows
  • Install CUDA driver
  • Install CUDA toolkit
  • Install CUDA SDK
  • restart computer
Verify CUDA Installation
  • To verify installation, from the Window's command prompt:
nvcc -V
  • Run the bandwidthTest program located in
%NVSDKCUDA_ROOT%\bin\win32\Release
Where, in my case, %NVSDKCUDA_ROOT% is C:\WINNT\Profiles\All Users\Application Data\NVIDIA Corporation\NVIDIA GPU Computing SDK\C
Compile CUDA Code
Compile your CUDA code using MEX in MATLAB.
MATLAB MEX
If you run into issues wherein some of the CUDA libraries are not found, you may either find the libraries and add them to your current directory, or add a few directories to the PATH:
C:\CUDA\bin; %NVSDKCUDA_ROOT%\common\lib; %NVSDKCUDA_ROOT%\common\inc;
  1 个评论
Jack Lee
Jack Lee 2020-7-20
Hi, thanks, I've tried this - nvcc works from command prompt, I'm using the compatable versions of matlab and the toolkit and bandwithTest passes my GPU, but I still get "nvcc fatal : Unsupported gpu architecture 'compute_30' " when I run mexcuda.
Would you mind explaining what this specific error means, and if there's anything I can change to deal with it?

请先登录，再进行评论。

Joss Knight
Joss Knight 2020-8-4
编辑：Joss Knight 2020-8-4
Hi Jack. I expect the answer to this question is that you have installed a more recent version of the CUDA toolkit, specifically CUDA 11, and are attempting to compile with it. MATLAB R2020a is on CUDA 10.1 and by default will attempt to build compute_30 binaries, that CUDA 11 doesn't support. It's hard to know exactly what you're doing so you should show exactly what you are seeing, specifically what are you calling in MATLAB and what is the verbose output? (-v option to MEXCUDA). I ask this because if you were using MEXCUDA in a standard way it wouldn't allow you to compile with CUDA 11. I'm guessing you've compiled some binaries in MATLAB with its version of CUDA and are attempting to link them with a CUDA 11 version of nvcc. Or perhaps it's the other way round - you compiled some libraries using CUDA 11 and they are missing compute_30 binaries and then you attempted to link them when building using MEXCUDA.
  2 个评论
aboharbf
aboharbf 2021-7-19
Hi Joss,
Is this also the case with MATLAB 2021a and CUDA 11.0? I'm using 3080 and this seemed to be the way to go.
Joss Knight
Joss Knight 2021-7-20
You'd have to give details on the errors you are seeing. MATLAB 2021a uses CUDA 11, so no compute_30 binaries will be coming from MATLAB in that case.

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 GPU Computing 的更多信息

标签

产品


版本

R2020a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by