Minimum/maximum CUDA Toolkit requirement for R2022a
62 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Hi,
I'm trying to make sure that the CUDA Toolkit version I have installed is compatible with the version of Matlab that I use, as I've heard that parallel computing can be very sensitive to this.
Looking at the current documentation, there are mention of the compute capability requirement, but nothing about CUDA.
I am using Matlab R2022a and CUDA Toolkit 11.7, are they compatible ?
1 comentario
Yaneri
el 6 de Mzo. de 2024
Editada: Walter Roberson
el 6 de Mzo. de 2024
Hi, here you can findo toolkit version for matlab versions including latest ones (2023)
Respuestas (1)
Edric Ellis
el 5 de Sept. de 2022
Editada: Edric Ellis
el 22 de Nov. de 2024
To run code using gpuArray, you do not need to install a CUDA Toolkit. You only need a CUDA driver. You should always* install the latest CUDA driver for your device. (*In the past, there have been rare occasions where the very latest CUDA driver has caused problems - but in general, it is almost always the right thing to install the lastest CUDA driver).
You can compile CUDA MEX files using mexcuda without installing a CUDA Toolkit as (since R2019b) Parallel Computing Toolbox ships the correct version of the CUDA Toolkit to do this. In recent versions of MATLAB, mexcuda can also generate PTX code to run with CUDAKernel.
0 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!