Contents

Index

• Getting Started

• Introduction to Real-Time Workshop Technology

• Developing Models for Code Generation

• Defining Data Representation and Storage for Code Generation

• Preparing Models for Code Generation

• Generating Code and Building Executables

• Generating Code

• Generating Reports for Code Reviews and Traceability Analysis

Reloading Generated Code

• Building Executables

• Optimizing Generated Code

Optimization Parameters Overview

• Optimizing Models

Getting Advice About Optimizing Models for Code Generation

Demos Illustrating Optimizations

Minimizing Memory Requirements for Parameters and Data During Code Generation

Other Optimization Tools and Techniques

• Minimizing Computations and Storage for Intermediate Results

Expression Folding Example

Using and Configuring Expression Folding

• Block Diagram Performance Tuning

Lookup Tables and Polynomials

Reducing the Number of Blocks in a Model

Optimizing Code for Switch Blocks

Optimizing Data Type Usage

Additional Integer and Fixed-Point Optimizations

• Optimizing Signals

Implementing Logic Signals as Boolean Data

Reducing Memory Requirements for Signals

Declaring Signals as Local Function Data

Reusing Memory Allocated for Signals

Inlining Invariant Signals

• Inlining Parameters

Referenced Models

Configuring a Loop Unrolling Threshold

• Optimizing Code Generated for Vector Assignments

Example: Using memcpy for Vector Assignments

Controlling Memory Allocation for Time Counters

• Optimizing Code Resulting from Floating-Point to Integer Conversions

Removing Code That Wraps Out-of-Range Values

Removing Code That Maps NaN Values to Integer Zero

Optimization Dependencies

• Customizing Code Generation and the Build Process

• Converting MATLAB Code to C Code

• Integrating External Code With Generated C and C++ Code

• Setting Up Generated Code To Interface With Components in the Run-Time Environment

• Verifying Generated Code Applications

• Troubleshooting

• Target Language Compiler

Product Limitations Summary

• Configuration Parameters for Simulink Models

• Configuration Parameters for Embedded MATLAB Coder

• Model Advisor Checks

• Release Notes

Learn more about Real-Time Workshop

Optimizing Generated Code

You can optimize memory usage and performance of code generated from your model by the Real-Time Workshop product a number of ways. This chapter discusses optimization techniques that are common to all target configurations and code formats. For an overview of controlling optimization, see Optimization Pane in the Simulink documentation. For optimizations specific to a particular target configuration, see the chapters relevant to that target.

Relocating Code to Another Development Environment

Relocating Code to Another Development Environment

Optimization Parameters Overview

Optimization Parameters Overview

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