Data Type Optimization in Simulink

Fixed-point data type optimization for an efficient design

Data type optimization automatically iterates through various fixed-point configurations to choose the optimal heterogeneous data types while meeting tolerance constraints on the numerical behavior of your system. The optimization seeks to minimize an objective function, such as total bit width or total operator counts, using fixed-point data types for an efficient design.

You can optimize data types using the fxpopt function at the command line, or by using the Optimized Fixed-Point Conversion workflow in the Fixed-Point Tool.

Tools

Fixed-Point Tool

Convert a floating-point model to a fixed-point model

Functions

fxpopt Optimize data types of a system

Classes

`fxpOptimizationOptions`	Specify options for data type optimization
`OptimizationSolution`	Optimized fixed-point implementation of system
`OptimizationResult`	Result after optimizing fixed-point system

Topics

Data Type Conversion Overview
Convert data types in your model to fixed point in one of three ways.
Best Practices for Fixed-Point Conversion Workflow
Use best practices when converting a model to fixed point.
Specify Behavioral Constraints
Use signal tolerances and model verification blocks to verify behavior of fixed-point implementation.
Optimize Fixed-Point Data Types for a System
Optimize data types in a system based on specified tolerances.
Optimize the Fixed-Point Data Types of a System Using the Fixed-Point Tool
Use the Fixed-Point Tool to optimize the data types of a system using multiple simulation scenarios.
Optimize Data Types Using Multiple Simulation Scenarios
Define multiple simulation scenarios for range collection and verification.
Perform Data Type Optimization with Custom Behavioral Constraints
Use Model Verification blocks to specify custom behavioral constraints for data type optimization with fxpopt.
Model Configuration Changes Made During Data Type Optimization
Changes made to model configuration parameters during data type optimization with fxpopt.

Troubleshooting

Blocks That Do Not Support Fixed-Point Data Types

Troubleshoot blocks that are not supported for fixed-point conversion.

Data Type Optimization Not Successful

Troubleshoot errors thrown during data type optimization using the fxpopt function.

Best Practices for Working with the MATLAB Function Block in Automated Fixed-Point Conversion Workflows

Follow best practices and avoid unsupported MATLAB^® Function block features.

Featured Examples

Optimize Data Types for an FPGA with DSP Slices

Use the addSpecification method to achieve better mapping for product and gain blocks.

Open Script

Convert Neural Network Algorithms to Fixed-Point Using fxpopt and Generate HDL Code

Convert a neural network to fixed point using fixed-point optimization and lookup table optimization.

Open Script

Image Denoising Using Fixed-Point Quantized Restricted Boltzmann Machine Algorithm

Convert a Restricted Boltzmann Machine (RBM) algorithm to an embedded-efficient version.

Open Script

Use Design Evolution Manager with Fixed-Point Tool

Use the Design Evolution Manager app to manage different design versions while using the Fixed-Point Tool and the Lookup Table Optimizer to convert a floating-point model to use fixed-point data types. While this example demonstrates the fixed-point conversion use case, you can use the Design Evolution Manager app to organize and analyze any work in which you create different versions of files in your design.