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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:
http://www.mathworks.com/products/parallel-computing/tutorials.html
NVIDIA® CUDA™ GPU with compute capability 2.0 or above is required for running the code examples.
Cite As
MathWorks Parallel Computing Toolbox Team (2026). Tutorials: Parallel and GPU Computing with MATLAB (9 of 9): GPU Computing with MATLAB (https://se.mathworks.com/matlabcentral/fileexchange/46710-tutorials-parallel-and-gpu-computing-with-matlab-9-of-9-gpu-computing-with-matlab), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.3.0.1 (1.83 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
