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Coder Summit: Code Generation Improvements for Vision and ADAS

From the series: Coder Summit

Dale Martin, MathWorks

MathWorks coder products for MATLAB®, Simulink®, and Stateflow® share a common coder engine that is increasingly optimized for design patterns used by engineers in computer vision and automated driving/ADAS applications.

Using a series of code differences, you can observe dramatic improvements in C code generated from MATLAB Coder™, Simulink Coder™, and Embedded Coder® involving large matrix constants, loop invariant code, variable size matrices, and single iterations.

This presentation is from Coder Summit Talks, which are live recordings of developers and engineers debuting their best MATLAB and Simulink Coder optimizations and examples at an annual technical interchange.

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Hear how Embedded Coder supports automatic data buffer reuse, user-specified reuse, and starting in R2018a, an intuitive user-suggested data reuse option that minimizes unnecessary data copies in generated code. 
2:43
User-Suggested Data Reuse for More Efficient Code
View full series (17 Videos)

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