Tutorials: Parallel and GPU Computing with MATLAB: All in one (9 parts)

Tutorials on Parallel and GPU Computing with MATLAB
Updated 1 Sep 2016

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This submission contains all code examples used in tutorial series for Parallel and GPU Computing with MATLAB available here:
Topics covered:
1. Product Landscape (no code examples)
2. Prerequisites and Setup (no code examples)
3. Quick Success with parfor
4. Deeper Insights into Using parfor
5. Batch Processing
6. Scaling to Clusters
7. spmd - Parallel Code Beyond parfor
8. Distributed Arrays
9. GPU Computing with MATLAB

Cite As

MathWorks Parallel Computing Toolbox Team (2024). Tutorials: Parallel and GPU Computing with MATLAB: All in one (9 parts) (https://www.mathworks.com/matlabcentral/fileexchange/46711-tutorials-parallel-and-gpu-computing-with-matlab-all-in-one-9-parts), MATLAB Central File Exchange. Retrieved .

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

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Version Published Release Notes

Updated license

Deleting Simulink Verification and Validation from the list of required products. This was requested by Nicholas Ide and Harald Brunnhofer, who note that only MATLAB and PCT are needed for this.

Updated comments

Updated code to match the latest tutorials

updated description