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GPU and CPU code: How to do?
This is exactly why MATLAB's GPU support is so awesome! You should only need to insert your 'shim' for gpu data, as OCDER descri...

10 months ago | 2

Answered
Calling CUDA mex functions from functions called via arrayfun
GPU arrayfun supports a restricted set of element-wise operations that it knows how to translate into CUDA device IR. It doesn't...

10 months ago | 0

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Answered
Declare gpuArray while executing on gpu
GPU arrayfun functions can only do scalar operations. You can declare new scalar variables but you can't create new arrays.

10 months ago | 0

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How can I recompile the GPU libraries ?
This is a known issue with CUDA 9.1 and the new Turing generation of GPUs. You don't need to do anything except ignore the initi...

11 months ago | 3

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Answered
mexcuda not finding CUDA 10.0 even after I specify it via setenv('MW​_NVCC_PATH​',...)
As it says there in the error message, you need CUDA 9.1, not 10.

11 months ago | 0

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Any GPU implementation of k-nearest neighbor search?
knnsearch is supported on the GPU, so just use it!

11 months ago | 0

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GPU arrayfun is so slow, what is going on?
You haven't called GPU arrayfun here, you've called CPU arrayfun and in the arrayfun function you are doing stuff on the GPU. Th...

11 months ago | 1

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Can I process 'fit' with a GPU?
We plan to accelerate the rate at which we provide improved coverage for gpuArray support in MATLAB Toolboxes, including Stats a...

11 months ago | 1

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Can I process 'fit' with a GPU?
No, there isn't, but other options may be adaptable to your problem. https://uk.mathworks.com/matlabcentral/answers/431697-make...

11 months ago | 1

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Answered
how can I output different array size than input by GPU arrayfun?
You can't output a variable sized output from GPU arrayfun, which would require atomic operations. You're going to have to compu...

11 months ago | 0

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Answered
How can I fix the CUDNN errors when I'm running train with RTX 2080?
Regarding issues with memory, the Titan XP has 12GB of memory while the RTX 2080 has only 8GB. You'll need to reduce your MiniBa...

11 months ago | 0

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How can I fix the CUDNN errors when I'm running train with RTX 2080?
This a known issue. Before you start anything else run try nnet.internal.cnngpu.reluForward(1); catch ME end That shoul...

11 months ago | 5

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Answered
Reduction variables on the GPU II and arrayfun: cannot assign to parent function variable?
No, you can only read from uplevel variables, and then only one element at a time. You cannot write to them. That is not the int...

11 months ago | 0

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Using reduction variables on the GPU: arrayfun or other options
I suppose it depends on what f is, is it a scalar operation for each element of x? If so you can move your loop over I inside yo...

11 months ago | 0

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MATLAB & Cuda 10
It works, although it will erroneously warn that JIT compilation is required (it isn't). Also, there is a known bug with Deep Le...

12 months ago | 1

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Sensible difference between computation on GPU single type variable and CPU single type
Jan's answer is correct of course; but perhaps the succinct point is to ask the question, which answer is right? You've been ass...

12 months ago | 1

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Make curve fitting faster
It does rather depend on what you're doing. The functions polyfit and interp1 work with gpuArray inputs.

12 months ago | 0

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How to reassign values for sparse GPU arrays?
You can use FIND to retrieve the nonzeros and their row and column indices. Then replace the values you want and construct a new...

12 months ago | 1

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Answered
(Temporary) Memory requirements of conv2/convn and fft2/fftn computations in GPU and CPU computing
FFT requires a workspace size dependent on the radix of the signal, and it can be pretty huge. A rule of thumb says you'll alway...

1 year ago | 0

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Undefined function or variable 'optIdx'. Error in sh (line 28) dev = gpuDevice( optIdx )? what is this
Sorry if this seems like a facetious answer - I may be missing the point. The error means you haven't defined the variable |optI...

1 year ago | 0

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Matlab 2018b GPU Training
Do you mean you switched to using hard-sigmoid or softsign activations? This is supported in 18b, but is a non-optimized version...

1 year ago | 3

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Answered
Efficiently run matrix or vector-valued function in element-wise fashion on GPU?
It's difficult to say what the best solution is without seeing what |fun| does. Typically you can address it using a series of c...

1 year ago | 0

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CUDA 10 supported with MATLAB 2017b
There are a number of possible explanations for this. One is that you are using a Volta or Turing card with an older MATLAB v...

1 year ago | 1

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gpuArray of variable size for codegen
Support for gpuArray input comes with R2018b. I don't know about the other thing, sorry.

1 year ago | 0

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Calculation of integrals and summation with an error "The following error occurred converting from gpuArray to double: Conversion to double from gpuArray is not possible"
On the face of it this code is not very advisable to run on the GPU, since I don't think it is well vectorized. Still, for a poi...

1 year ago | 1

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Cuda with Turing GPU and NeuralNetworkToolbox in 2017b
This is a bit distressing, to discover this. However, if the option is available to you, you should upgrade MATLAB to 18a or 18b...

1 year ago | 1

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Answered
Support for NVlink with multi GPU
MATLAB supports NVLink in Deep Learning applications (calling |trainNetwork| and similar) and explicitly through the GOP functio...

1 year ago | 0

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Answered
Is it possible to use GPU coder in macos system?
Yes, that is correct.

1 year ago | 1

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nvcc fatal : Unsupported gpu architecture 'compute_20'
Strictly speaking, for R2017b you need to be using an older version of the CUDA toolkit. MATLAB is expecting you to be using a v...

1 year ago | 0

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GPU computing Monte Carlo
It's pretty hard to tell from your description. The normal way for Monte Carlo would be to use |arrayfun|, following the documen...

1 year ago | 1

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