Optimisation des types de données dans Simulink

Optimisation du type de données à virgule fixe pour un design efficace

L’optimisation des types de données itère automatiquement sur différentes configurations en virgule fixe pour choisir les types de données hétérogènes optimaux tout en respectant les contraintes de tolérance sur le comportement numérique de votre système. L'optimisation a pour but de minimiser une fonction objective, telle que la largeur binaire totale ou le nombre total d’opérateurs, en utilisant des types de données à virgule fixe pour un design efficace.

Vous pouvez optimiser les types de données au moyen de la fonction fxpopt sur la ligne de commande ou en utilisant le workflow Optimized Fixed-Point Conversion dans le Fixed-Point Tool.

Outils

Fixed-Point Tool

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

Fonctions

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

Rubriques

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.
Use Design Evolution Manager with the Fixed-Point Tool
Example showing how to manage different design versions while converting a model from floating point to fixed point.

Résolution des problèmes

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.

Exemples présentés

Optimize Data Types for an FPGA with DSP Slices

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

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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.

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Image Denoising Using Fixed-Point Quantized Restricted Boltzmann Machine Algorithm

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

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