Tutorials: Parallel and GPU Computing with MATLAB (9 of 9): GPU Computing with MATLAB

Version 1.3.0.1 (1.83 KB) by MathWorks Parallel Computing Toolbox Team
Tutorial on Parallel and GPU Computing with MATLAB (9 of 9)
3.0
(2)
1.7K Downloads
Updated 1 Sep 2016

View License

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://ch.mathworks.com/matlabcentral/fileexchange/46710-tutorials-parallel-and-gpu-computing-with-matlab-9-of-9-gpu-computing-with-matlab), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on GPU Computing in Help Center and MATLAB Answers
Tags Add Tags

9_ExampleCode_GPUComputingwithMATLAB/

Version Published Release Notes
1.3.0.1

Updated license
1.3.0.0

Updated comments
1.2.0.0

Updated code to match the latest tutorials
1.1.0.0

updated description