Embedded Code Generation Advances Hear about embedded code generation advances in R2018a with the major release of MATLAB Coder and Embedded Coder.

How to Generate Production Code in 5 Minutes Watch how to quickly customize and generate code using Embedded Coder Quick Start, Code Perspective, and Embedded Coder Dictionary.

Embedded Coder Data, Function, and File Customization Learn about recent improvements to Embedded Coder that let you customize generated data, functions, and files according to your production software environment and standards.

Optimizing Code Made Easy Using Embedded Coder See how Embedded Coder lets you quickly use specific optimization levels in R2018a and how it has a multifaceted approach to producing more efficient code.

Code Generation Improvements for Vision and ADAS Watch how MathWorks coder products, such as MATLAB Coder and Embedded Coder share a common coder engine that is increasingly optimized for code patterns in computer vision and automated driving/ADAS applications.

User-Suggested Data Reuse for More Efficient Code 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. 

SIMD Code Generation Hear how Embedded Coder generates native SIMD instructions including Intel SSE and AVX for Windows and Linux. Previous SIMD support used code wrappers but native SIMD generation in R2018a improves quality and efficiency. 

ADAS Design, Simulation, and Code Generation with Simulink See how Automated Driving Toolbox and Embedded Coder let you design, simulate, and generate C++ code for automated driving and ADAS systems. Examples include adaptive cruise control with sensor fusion and model predictive control.

Optimizing Lookup Tables in Simulink and Embedded Coder Fixed-Point Designer lets you optimize lookup tables in Simulink and generate highly efficient code with Embedded Coder. The Lookup Table optimizer compresses data into data types that minimize memory use with low impact to numerical accuracy.