Tutorials: Parallel and GPU Computing with MATLAB: All in one (9 parts)
This submission contains all code examples used in tutorial series for Parallel and GPU Computing with MATLAB available here:
http://www.mathworks.com/products/parallel-computing/tutorials.html
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 (2020). 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 .
Comments and Ratings (2)
Updates
| 1.5.0.1 | Updated license |
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| 1.5.0.0 | 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. |
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| 1.4.0.0 | Updated comments |
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| 1.3.0.0 | Updated code to match the latest tutorials |
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| 1.2.0.0 | updated description |
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3_ExampleCode_QuickSuccesswithparfor/
4_ExampleCode_parforInsights/
5_ExampleCode_BatchProcessing/
6_ExampleCode_ScalingToClusters/
7_ExampleCode_SPMD_ParallelCodeBeyondparfor/
8_ExampleCode_distributed_arrays/
9_ExampleCode_GPUComputingwithMATLAB/
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Ravi Rastogi (view profile)
Jose Sanchez (view profile)
These tutorials are great but I was also expecting to have access to the slides.