Nycholas Maia asked . 2022-03-29

GPU and CPU code: How to do?

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?

gpu , cpu , parfor , AI, Data Science, and Statistics , Deep Learning Toolbox

Expert Answer

John Michell answered . 2025-03-26 22:46:49

Yes, you can write MATLAB code that can run on systems with and without a GPU by using conditional checks and fallback mechanisms. Here's a step-by-step approach to achieve this:

Check for GPU Availability: Use the gpuDeviceCount function to check if a GPU is available.
Conditional Code Execution: Use if-else statements to run GPU-specific commands if a GPU is available, and CPU-specific commands otherwise.

Example Code:

Here's a simple example illustrating how you can write your MATLAB code to run with and without a GPU:

matlab

% Check for GPU availability
gpuAvailable = gpuDeviceCount > 0;

if gpuAvailable
    disp('GPU is available. Running on GPU.');
else
    disp('GPU is not available. Running on CPU.');
end

% Define some example data
n = 1e6;
A = rand(n, 1);

% Use GPU if available, otherwise use CPU
if gpuAvailable
    % Transfer data to GPU
    A = gpuArray(A);
    
    % Use parfor loop with GPU
    parfor i = 1:length(A)
        A(i) = A(i) * 2;
    end
    
    % Gather data back to CPU
    A = gather(A);
else
    % Use parfor loop on CPU
    parfor i = 1:length(A)
        A(i) = A(i) * 2;
    end
end

disp('Processing completed.'

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