Model-based processor-in-the-loop framework for composable multi-core platforms

From model-based design to implementation on an embedded platform requires target-specific code generation, compilation, and execution. Processor-in-the-loop (PIL) simulation is an intermediate step meant for detailed testing and debugging in the development process. This paper presents a PIL simulation framework targeting multi-core FPGA-based embedded platforms. The presented framework allows for a fully automated process of performing PIL simulations on an FPGA-based embedded platform - CompSOC - starting from a Simulink model. The framework includes two PIL configurations - one configuration executes only the controller code on the target platform while other configuration executes both the controller and the plant code on the target platform. It considers scheduling of multiple applications and interference-free execution on the target platform under the PIL configurations. Further, the framework allows for logging various measurements of parameters such as execution time, memory usage and so on in the PIL configurations which can be used for testing and debugging purposes

Model-based processor-in-the-loop framework for composable multi-core platforms

\u3cp\u3eFrom model-based design to implementation on an embedded platform requires target-specific code generation, compilation, and execution. Processor-in-the-loop (PIL) simulation is an intermediate step meant for detailed testing and debugging in the development process. This paper presents a PIL simulation framework targeting multi-core FPGA-based embedded platforms. The presented framework allows for a fully automated process of performing PIL simulations on an FPGA-based embedded platform - CompSOC - starting from a Simulink model. The framework includes two PIL configurations - one configuration executes only the controller code on the target platform while other configuration executes both the controller and the plant code on the target platform. It considers scheduling of multiple applications and interference-free execution on the target platform under the PIL configurations. Further, the framework allows for logging various measurements of parameters such as execution time, memory usage and so on in the PIL configurations which can be used for testing and debugging purposes.\u3c/p\u3