CUSOLVER_STATUS_INTERNAL_ERROR with RTX 4080 Super in MATLAB 2022a C MEX Function
18 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Stefanos
el 20 de Jun. de 2024
Comentada: Stefanos
el 26 de Jun. de 2024
Hello,
I'm encountering a problem when running a CUDA-based C MEX function in MATLAB 2022a on a machine equipped with an RTX 4080 Super GPU. The specific error occurs when executing the line:
cusolverStatus_t status = cusolverDnCreate(&handle);
Here are the details:
- The MEX function compiles successfully using the mexcuda command.
- The same code operates correctly on this machine when using an RTX 2080Ti GPU with exactly the same software setup.
- When the RTX 4080 Super is used, this error appears, even though the function runs without issues in Visual Studio, indicating that CUDA (Version 12.5) is properly configured on my system.
- Upgrading to MATLAB 2024a resolves the issue, suggesting a compatibility problem with MATLAB 2022a. However, I am restricted to using MATLAB 2022a due to dependencies on other external software.
Additional context:
- NVIDIA Driver Version: 555.99
- CUDA Toolkit Version: 12.5
Has anyone else experienced similar issues with newer NVIDIA GPUs in MATLAB 2022a? Any insights or suggestions on how to resolve or circumvent this error with the RTX 4080 Super would be greatly appreciated.
Thank you!
1 comentario
Umar
el 21 de Jun. de 2024
Hi Stefanos, It seems that the compatibility issue lies between MATLAB 2022a and the RTX 4080 Super GPU. Upgrading to MATLAB 2024a resolves the problem, indicating a version-specific conflict. Since you are constrained to MATLAB 2022a, consider checking for any MATLAB updates or patches that address GPU compatibility issues. Additionally, ensure that all CUDA libraries and drivers are up to date. You may also try adjusting compiler options or CUDA configurations specific to the RTX 4080 Super GPU. Seeking support from MathWorks or NVIDIA forums could provide further insights or workarounds tailored to your setup.
Respuesta aceptada
Joss Knight
el 24 de Jun. de 2024
Editada: Joss Knight
el 25 de Jun. de 2024
This is a known issue with CUDA 11.2, Ada cards, and cusolver. The solution is to upgrade MATLAB to R2023a or above, because it requires a new version of CUDA which cannot be provided in an update release.
It is possible that you can be walked through dropping a fixed version of cusparse and cusolver from CUDA 11.3, that would be compatible with MATLAB R2022a and not broken. However, it would require you to edit your MATLAB installation. (SPOILER: This turned out to be the only solution that worked.) Upgrading is definitely preferable.
Since this is a mex function, you have the option to compile using your own CUDA toolkit rather than the one shipped with MATLAB. To do this you will need to make some edits to mex options in order to allow mexcuda to use a version of the toolkit that doesn't match the version of MATLAB. I can walk you through this if this is your preferred route. At the moment mexcuda is not using the 12.5 tookit you installed because the version is wrong.
EDIT: Actually, I think I know how to force mexcuda to compile with your toolkit without any options file changes:
mexcuda -v CUDA_LIB_PATH='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.5\lib\x64' CUDA_ROOT='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.5' LIBDEVICE='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.5\nvvm\libdevice' cusolver_handle_mex.cu
The -v will help you work out whether the correct version of nvcc was used. What I can't be sure of is that using CUDA 12.5 alongside CUDA 11.2 won't have unforeseen problems. If it does you might be better off installing CUDA 11.3 instead, which will be compatible with R2022a but won't have the cusolver bug.
18 comentarios
Más respuestas (1)
Joss Knight
el 24 de Jun. de 2024
It's probably necessary for you to provide your code, since any number of things could have gone wrong prior to intializing cusolver which could prevent it from intializing successfully. For instance, did you start your mex function by calling mxGPUInit?
2 comentarios
Ver también
Categorías
Más información sobre GPU Computing en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!