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GPU and CPU code: How to do?

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Nycholas Maia
Nycholas Maia 2019 年 1 月 9 日
コメント済み: Joss Knight 2020 年 6 月 23 日
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?


OCDER 2019 年 1 月 9 日
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;

その他の回答 (1 件)

Joss Knight
Joss Knight 2019 年 1 月 9 日
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.
  3 件のコメント
Joss Knight
Joss Knight 2020 年 6 月 23 日
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.


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