加速

使用加速和快速加速模式提高仿真速度

使用加速和快速加速模式提高仿真速度，而无需更改模型本身。要了解详细信息，请参阅What Is Acceleration?

函数

`sim`	对 Simulink 模型进行仿真
`set_param`	设置 Simulink 参数值
`Simulink.BlockDiagram.buildRapidAcceleratorTarget`	Build Rapid Accelerator target for model and return run-time parameter set
`Simulink.BlockDiagram.getChecksum`	Return model checksum
`Simulink.SubSystem.getChecksum`	Return checksum of nonvirtual subsystem
`Simulink.getFileChecksum`	Checksum of file
`slbuild`	为模型编译独立可执行文件或模型引用目标

主题

设计模型以实现有效加速
了解加速时可以应用的技巧。
执行加速
配置并运行加速模型。
Interact with the Acceleration Modes Programmatically
Use programmatic parameters for acceleration modes.
How to Improve Performance in Acceleration Modes
Improve acceleration performance.
What Is Acceleration?
Introduces the accelerator and rapid accelerator modes.
加速模式的工作原理
比较和对比普通、加速和快速加速模式。
选择仿真模式
根据您的仿真需求，选择在普通、加速或快速加速模式下运行仿真。
Code Regeneration in Accelerated Models
Identify the conditions under which code is regenerated.
比较性能
在加速速度权衡中作出选择，并测量性能。

精选示例

Introduction to Accelerating Models

Simulink® Accelerator™ speeds up the execution of your model, by creating and compiling C code. This C code takes the place of the interpretive code that Simulink uses when in Normal mode (that is, when Simulink® is not in Accelerator mode). Simulink Accelerator generates the C code from the Simulink model and invokes the MATLAB® mex function to compile and dynamically link the generated code to Simulink. This code generation and compilation process happens the first time you accelerate the model and any time the model changes are significant enough to require re-generation (for example, the addition of a block).

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Determine Why Simulink Accelerator Is Regenerating Code

Sometimes Simulink® regenerates the simulation target for a model at the beginning of a simulation in Accelerator Mode but it is not always clear why regeneration happens. This example shows how to use Simulink MATLAB® commands to determine why Simulink regenerates code for Accelerator Mode simulations.

打开实时脚本

Parallel Simulations Using Parsim: Parameter Sweep in Normal Mode

Run multiple simulations of a Monte Carlo study in parallel by using Parallel Computing Toolbox™. Parallel execution leverages the multiple cores of your host machine to run many simulations more quickly. These simulations could also be run in parallel on computer clusters using the MATLAB Parallel Server™. This example will work even if the Parallel Computing Toolbox™ or the MATLAB Parallel Server™ is not available, but the simulations will run in serial.

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