MATLAB: What is the use of acclerator mode and normal mode of simulation

Embedded Codersimulationsimulinksolvers

There are few simulation modes :

Noraml Acclerator Rapid Acclerator PIL SIL External

What are the difference between these modes used for simulation ?

I have generally used Normal mode , Why and When are the other modes of simulation used ?

dosen't the solvers serve the purpose of simulation mode change ?

Best Answer

Please read the Choose a Solver to understand how solvers affect simulation. The comparison between Normal, Accelerator and Rapid Accelerator modes is on this page. There is information about External Mode here, about SIL/PIL here.

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MATLAB: How to install select callback function in STF

The code:

slConfigUISetVal(hDlg, hSrc, 'ModelReferenceCompliant', 'on');
slConfigUISetEnabled(hDlg, hSrc, 'ModelReferenceCompliant', false);
slConfigUISetVal(hDlg, hSrc, 'ParMdlRefBuildCompliant', 'on');
slConfigUISetEnabled(hDlg, hSrc, 'ParMdlRefBuildCompliant', false);

Should be defined in a separate MATLAB file named custom_select_callback_handler.m that should be present on the MATLAB path:

function custom_select_callback_handler(hDlg, hSrc)
slConfigUISetVal(hDlg, hSrc, 'ModelReferenceCompliant', 'on');
slConfigUISetEnabled(hDlg, hSrc, 'ModelReferenceCompliant', false);
slConfigUISetVal(hDlg, hSrc, 'ParMdlRefBuildCompliant', 'on');
slConfigUISetEnabled(hDlg, hSrc, 'ParMdlRefBuildCompliant', false);

MATLAB: Embedded Matlab in Acclerator Mode

The Embedded MATLAB blocks generate a C-MEX S-function in Normal/Accelerator mode (not an M-file S-function). Like you have observed, the only difference between the two modes should be that the code is inlined in the Rapid Accelerator mode. My guess is that the same blocks would take the longest time in Rapid Accel mode also (assuming that creating the function-call stack is much cheaper than the execution time of your code). Have you tried running your MATLAB code in an M-file S-function or Intepreted MATLAB Function block? For many math operations, MATLAB uses highly optimized libraries, which may be faster than the standalone C code generated by the Embedded MATLAB block. You may be able to speed up your model execution by doing so.

One other way that you might profile your code is by setting up PreOutputs and PostOutputs execution event listeners: http://www.mathworks.com/help/toolbox/simulink/ug/f13-92122.html#f13-92463

You can use tic's return argument (the ticID) in the PreOutputs event and store it in the block's UserData, and access the same ticID in the PostOutputs event to pass to toc.

Best Answer

Related Solutions

MATLAB: How to install select callback function in STF

MATLAB: Embedded Matlab in Acclerator Mode

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