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MATLAB CUDA 8.0 compatibility

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Ivan Farkas
Ivan Farkas on 20 Jul 2016
Commented: Joss Knight on 18 Apr 2017
  • When MATLAB CUDA 8.0 compatibility is released?
  • When MatConvNet CUDA 8.0 compatibility is released?
  • When MatConvNet 1.0 is released?
  2 Comments
Joss Knight
Joss Knight on 18 Apr 2017
CUDA 8.0 is supported in MATLAB R2017a.

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Answers (6)

Tien-Ju Yang
Tien-Ju Yang on 22 Sep 2016
I am also waiting for Matlab to support CUDA 8.0 for quite a long time because of the Pascal GPUs. Until now, Matlab still cannot give out any specific time of their CUDA 8 support. However, I have waited so long, so I have no choice but to migrate all my code from Matlab to Python and leave the Matlab community.
  3 Comments
Walter Roberson
Walter Roberson on 23 Sep 2016
I would say that parallel processing is the "main and the most basic component of the parallel computing toolbox". The toolbox as originally released did not support gpu, just parfor, spmd, and similar routines for multi-core support.
Mathworks seldom publicly comments on timelines (not many vendors do.) The official way to get a timeline is to talk to Mathworks Sales, who can offer information under Non-Disclosure Agreement.
In looking around over the last few days, I have reached the impression that the Pascal architecture is not backwards compatible for all operations -- that it is not just a matter of offering access that is slower than would be possible, but that some operations no long work. See for example https://www.mathworks.com/support/bugreports/search_results?utf8=%E2%9C%93&search_executed=1&keyword=1439741&release_filter=Exists+in&release=0&selected_products=&commit=Search

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Walter Roberson
Walter Roberson on 20 Jul 2016
Edited: Walter Roberson on 29 Jul 2016
Cuda 8 might be supported some day, but which release was not decided as of just a few weeks ago.
Note: MATLAB seldom discusses future plans in public. If you want to know when a feature is coming, you need to talk to a Mathworks Sales representative under Non Disclosure Agreement.

Joss Knight
Joss Knight on 29 Jul 2016
Edited: Joss Knight on 29 Jul 2016
CUDA 8.0 hasn't been released yet, so your question is really one for NVIDIA! Past history says that a version of MATLAB will support the next-but-latest version of CUDA at the time of its release, although there are exceptions (MATLAB R2016a is built with CUDA 7.5 for instance).
Also, it's worth being clear what you mean by 'compatibility'. It is possible to force MEXCUDA to build against a newer version of the CUDA toolkit than MATLAB was built for, although not necessarily advisable.

Walter Roberson
Walter Roberson on 16 Mar 2017
Cuda 8.0 support was made official in R2017a.

C S
C S on 13 Sep 2016
Hi Joss,
Following up on Ivan's question. I am using a board (GTX 1080) that requires CUDA 8. You wrote that "It is possible to force MEXCUDA to build against a newer version of the CUDA toolkit than MATLAB was built for, although not necessarily advisable." Since it will not be possible to build against 7.5 which is supported by my version of MATLAB (R2016a) could you provide instructions on how to build against CUDA8?
Many thanks.
  1 Comment
Joss Knight
Joss Knight on 18 Apr 2017
Your assumption is not correct. If you are using R2016a, continue to use CUDA 7.5.

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Mendi Barel
Mendi Barel on 28 Feb 2017
Edited: Mendi Barel on 28 Feb 2017
This is how to compile (mexcuda) with Visual Studio 2015 and Cuda 8.0 :
  1. Go to: "\toolbox\distcomp\gpu\extern\src\mex\win64"
  2. Copy files and rename 2013 to 2015: { "nvcc_msvcpp2013.xml" , "nvcc_msvcpp2013_dynamic.xml"}
  3. Replace inside those files "7.5" to "8.0" and "12" to "14".
  4. Done.

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