This submission contains code examples used in part 9 of tutorial series on Parallel and GPU Computing with MATLAB. This part covers using GPU-enabled MATLAB functions, executing NVIDIA® CUDA™ code from MATLAB®, and performance considerations.
Complete tutorial series is available here:
NVIDIA® CUDA™ GPU with compute capability 2.0 or above is required for running the code examples.
MathWorks Parallel Computing Toolbox Team (2019). Tutorials: Parallel and GPU Computing with MATLAB (9 of 9): GPU Computing with MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/46710-tutorials-parallel-and-gpu-computing-with-matlab-9-of-9-gpu-computing-with-matlab), MATLAB Central File Exchange. Retrieved .
Updated code to match the latest tutorials