Parallel Computing Hands-on Workshop

Learn how you can solve computationally and data intensive problems using multicore processors, GPUs, and compute clusters.

https://github.com/mathworks/parallel-computing-hands-on-workshop

現在この提出コンテンツをフォロー中です。

Parallel Computing Hands-On Workshop:

This hands-on workshop will introduce you to parallel computing with MATLAB® and Simulink®, so that you can solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. By working through common scenarios to parallelize MATLAB algorithms and run multiple Simulink simulations in parallel, you will gain an understanding of parallel computing with MATLAB and Simulink and learn about best practices.

Highlights:

Workshop exercises and examples will vary in difficulty from simple parallel usage concepts to more advanced techniques.

• Speeding up MATLAB applications with parallel computing
• Running multiple Simulink simulations in parallel
• GPU computing
• Offloading computations and cluster computing
• Working with large data sets

Learning Video:

Along with these exercises and examples, a video is provided to reinforce how to use parallel computing with MATLAB and Simulink. This video goes through the Parallel Computing Workshop.pdf. You can find the recorded video here:
https://www.mathworks.com/videos/parallel-computing-hands-on-workshop-1594017972362.html

引用

Sam Marshalik (2026). Parallel Computing Hands-on Workshop (https://github.com/mathworks/parallel-computing-hands-on-workshop/releases/tag/v1.0), GitHub. に取得済み.

MATLAB リリースの互換性

  • R2016b 以降のリリースと互換性あり

プラットフォームの互換性

  • Windows
  • macOS
  • Linux
バージョン 公開済み リリース ノート Action
1.0

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この GitHub アドオンでの問題を表示または報告するには、GitHub リポジトリにアクセスしてください。