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
gpuDeviceCountfunction to check if a GPU is available. -
Conditional Code Execution: Use
if-elsestatements 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:
% 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.'Need a Custom Version or Complete Simulation for This Problem?
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