PIL Execution with ARM Cortex-A at the Command Line - MATLAB & Simulink (original) (raw)

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This example shows how to set up a PIL execution to verify generated code at the command line.

You can use processor-in-the-loop (PIL) executions to verify generated code that you deploy to target hardware by using a MATLAB® Coder™ procedure. You can profile algorithm performance and speed for your generated code. To verify generated code with the MATLAB Coder app, you must have an Embedded Coder® license.

This PIL execution is available with these hardware support packages. To use the PIL execution, install one of these support packages.

In the Command Window, select the hardware for PIL execution.

hw = coder.hardware('ARM Cortex-A9 (QEMU)')

hw =

Hardware with properties:

        Name: 'ARM Cortex-A9 (QEMU)'
CPUClockRate: 1000

When using the BeagleBone hardware, more hardware properties are supported (Username, Password, andDeviceAddress). Set these properties based on your specific hardware or application.

hw = coder.hardware('BeagleBone Black')

hw =

Hardware with properties:

         Name: 'BeagleBone Black'
 CPUClockRate: 1000
     Password: 'root'
     Username: 'admin'
DeviceAddress: '192.168.1.10'

Add the hardware to the MATLAB Coder configuration object.

cfg = coder.config('lib','ecoder',true); cfg.VerificationMode = 'PIL'; cfg.Hardware = hw;

Generate PIL code for a function, averaging_filter.

codegen -config cfg averaging_filter -args {zeros(1,16)}

For more information on the averaging_filter function, see Generate C/C++ Code from a MATLAB Function.

For another example of PIL verification, see the Processor-in-the-Loop Verification of MATLAB Functions page in the documentation of the Embedded Coder Support Package for ARM Cortex-A Processors. To install the Embedded Coder Support Package for ARM Cortex-A Processors, see Embedded Coder Supported Hardware.