Parallel Computing Hands-on Workshop

版本 1.0 (11.9 MB) 作者: Sam Marshalik
Learn how you can solve computationally and data intensive problems using multicore processors, GPUs, and compute clusters.
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更新时间 2020/10/8
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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

引用格式

Sam Marshalik (2024). Parallel Computing Hands-on Workshop (https://github.com/mathworks/parallel-computing-hands-on-workshop/releases/tag/v1.0), GitHub. 检索时间: .

MATLAB 版本兼容性
创建方式 R2020a
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版本 已发布 发行说明
1.0

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