Simulink에서의 데이터형 최적화

효율적인 설계를 위한 고정소수점 데이터형 최적화

데이터형 최적화는 다양한 고정소수점 구성을 자동으로 반복하여 최적의 이종 데이터형을 선택하고 동시에 시스템의 수치적 동작에 대한 허용오차 제약 조건을 충족합니다. 데이터형 최적화는 효율적인 설계를 위해 고정소수점 데이터형을 사용하여 총 비트 너비 또는 총 연산자 수 같은 목적 함수를 최소화하려고 합니다.

명령줄에서 fxpopt 함수를 사용하거나 고정소수점 툴에서 최적화된 고정소수점 변환 워크플로를 사용하여 데이터형을 최적화할 수 있습니다.

툴

고정소수점 툴

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

함수

fxpopt Optimize data types of a system

클래스

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

도움말 항목

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.
동작 제약 조건 지정하기
신호 허용오차 및 Model Verification 블록을 사용하여 고정소수점 구현의 동작을 검증합니다.
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.

문제 해결

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.

추천 예제

Optimize Data Types for an FPGA with DSP Slices

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

스크립트 열기

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.

스크립트 열기

Image Denoising Using Fixed-Point Quantized Restricted Boltzmann Machine Algorithm

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

스크립트 열기

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.