向量算子优化Vector Operation Optimization

向量算子优化Vector Operation Optimization

查看MATLAB命令View MATLAB Command

示例显示Simulink®编码器™ ，将生成向量的块输出，设置为标量，优化生成的代码，例如Mux、Sum、Gain和Bus。这种优化通过用局部变量替换临时局部数组来减少堆栈内存。

示例模型Example Model

模型采用矢量优化rtwdemo_VectorOptimization，增益块G1和G2的输出为矢量信号tmp1和tmp2。向量的宽度为10。

model = 'rtwdemo_VectorOptimization';

open_system(model);

set_param(model, 'SimulationCommand', 'update')

 

Generate Code

为生成和检查过程，创建临时文件夹（在系统临时文件夹中）。

currentDir = pwd;

[~,cgDir] = rtwdemodir();

Build the model.

rtwbuild(model)

### Starting build procedure for: rtwdemo_VectorOptimization

### Successful completion of build procedure for: rtwdemo_VectorOptimization

 

Build Summary

 

Top model targets built:

 

Model                       Action                       Rebuild Reason                                   

===========================================================================================================

rtwdemo_VectorOptimization  Code generated and compiled  Code generation information file does not exist. 

 

1 of 1 models built (0 models already up to date)

Build duration: 0h 0m 25.92s

The optimized code is in rtwdemo_VectorOptimization.c. The signals tmp1 and tmp2 are the local variables rtb_tmp1 and rtb_tmp2.

cfile = fullfile(cgDir,'rtwdemo_VectorOptimization_grt_rtw',...

    'rtwdemo_VectorOptimization.c');

rtwdemodbtype(cfile,'/* Model step', '/* Model initialize', 1, 0);

/* Model step function */

void rtwdemo_VectorOptimization_step(void)

{

  real_T rtb_Sum3;

  real_T rtb_tmp1;

  real_T rtb_tmp2;

  int32_T i;

  for (i = 0; i < 10; i++) {

    /* Gain: '<Root>/G2' incorporates:

     *  UnitDelay: '<Root>/X2'

     */

    rtb_tmp2 = 0.3 * rtwdemo_VectorOptimization_DW.X2_DSTATE[i];

 

    /* Gain: '<Root>/G1' incorporates:

     *  UnitDelay: '<Root>/X1'

     */

    rtb_tmp1 = 0.2 * rtwdemo_VectorOptimization_DW.X1_DSTATE[i];

 

    /* Sum: '<Root>/Sum3' incorporates:

     *  Gain: '<Root>/G3'

     *  Inport: '<Root>/In2'

     *  Sum: '<Root>/Sum1'

     *  Sum: '<Root>/Sum2'

     *  UnitDelay: '<Root>/X3'

     */

    rtb_Sum3 = ((rtwdemo_VectorOptimization_U.In2[i] - 0.4 *

                 rtwdemo_VectorOptimization_DW.X3_DSTATE[i]) - rtb_tmp2) -

      rtb_tmp1;

 

    /* Outport: '<Root>/Out2' */

    rtwdemo_VectorOptimization_Y.Out2[i] = rtb_Sum3;

 

    /* Update for UnitDelay: '<Root>/X3' */

    rtwdemo_VectorOptimization_DW.X3_DSTATE[i] = rtb_tmp2;

 

    /* Update for UnitDelay: '<Root>/X2' */

    rtwdemo_VectorOptimization_DW.X2_DSTATE[i] = rtb_tmp1;

 

    /* Update for UnitDelay: '<Root>/X1' */

    rtwdemo_VectorOptimization_DW.X1_DSTATE[i] = rtb_Sum3;

  }

}

关闭模型和代码生成报告

bdclose(model)

rtwdemoclean;

cd(currentDir)