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Optimización de tipos de datos en Simulink

Optimización de los tipos de datos de punto fijo para lograr un diseño eficiente

La optimización de tipos de datos itera automáticamente a través de varias configuraciones de punto fijo para elegir los tipos de datos heterogéneos óptimos y, al mismo tiempo, cumplir las limitaciones de tolerancia en el comportamiento numérico del sistema. La optimización busca reducir una función objetivo, como el número total de bits o el recuento total de operadores, utilizando tipos de datos de punto fijo para lograr un diseño eficiente.

Puede optimizar los tipos de datos mediante la función fxpopt en la línea de comandos o a través del flujo de trabajo Optimized Fixed-Point Conversion en Fixed-Point Tool.

Herramientas

Fixed-Point Tool

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

Funciones

fxpopt Optimize data types of a system

Clases

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

Temas

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.

Solución de problemas

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.

Ejemplos destacados

Optimize Data Types for an FPGA with DSP Slices

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

Abrir 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.

Abrir script

Image Denoising Using Fixed-Point Quantized Restricted Boltzmann Machine Algorithm

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

Abrir script