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GPU and CPU code: How to do?

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Nycholas Maia
Nycholas Maia on 9 Jan 2019
Edited: Biraj Khanal on 3 Jan 2022
I would like to share my MATLAB project with others that does not have any GPU card in your computers, but I want to use the GPU power in my computer.
How can I write ONLY ONE MATLAB code that can be run with and without GPU system?
My main GPU commands are:
  • parfor
  • GPUarray
In C/C++ language, we can write a pre-processor that can be this "magic shift". Is possible to do this in MATLAB?

Accepted Answer

OCDER on 9 Jan 2019
Depending on how your codes are structured, try to decide early on whether to use gpuArray or regular array. Most Matlab built-in functions will automatically determine and use gpuArrays.
function Output = main(Input)
%Decide early to use gpuArray
if gpuDeviceCount > 0
Input = gpuArray(Input);
%Use functions that support either gpuArray or regular arrays as inputs
Input = myCustonFcn(Input) %custom function that allows gpuArray inputs
%Return as a regular array when done
if existsOnGPU(Input)
Output = gather(Input);
Output = Input;

More Answers (1)

Joss Knight
Joss Knight on 9 Jan 2019
This is exactly why MATLAB's GPU support is so awesome! You should only need to insert your 'shim' for gpu data, as OCDER describes in their answer, in a very limited number of places. If you are doing Deep Learning, it's even easier: training and inference will automatically run on the GPU if there is one, and the CPU if not.
Joss Knight
Joss Knight on 23 Jun 2020
Use the option 'ExecutionEnvironment', 'cpu' as input to semanticseg to force CPU execution, or change the 'MiniBatchSize' option to something less (the default is 128) so that your GPU can handle the data.
Biraj Khanal
Biraj Khanal on 3 Jan 2022
Edited: Biraj Khanal on 3 Jan 2022
I am trying to compare the performance of a particular function using GPU and CPU.
Can we force any function to use CPU instead of GPU or does it only work with the segmentation function ?

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