File Exchange

image thumbnail

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

Tutorial on Parallel and GPU Computing with MATLAB (9 of 9)

19 Downloads

Updated 01 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 (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 .

Comments and Ratings (1)

Updates

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

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux

9_ExampleCode_GPUComputingwithMATLAB/