This demo shows how to identify bottlenecks in code that is run on a CPU using the MATLAB Profiler.
The computations forming the bottleneck in this example are then executed on the system's GPU using the gpuArray() command and the interface to CUDA kernels.
Code to compare the calculations from the CPU and from the GPU is also provided.
Kye Taylor (2021). Color-balance demo with GPU computing (https://www.mathworks.com/matlabcentral/fileexchange/41089-color-balance-demo-with-gpu-computing), MATLAB Central File Exchange. Retrieved .
Inspired by: MATLAB for CUDA Programmers
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