Hi Anton,
I am not aware of any direct ways of measuring amount of data being processed since Simulink primarily focuses on simulation rather than profiling computational resources. However, the following approaches can be used to estimate computational metrics of a Simulink model:
- Performance Advisor: It analyzes the configuration of your model and simulation and produces a report that flags and suggests changes for configuration settings that might slow down simulation. The Performance Advisor analyzes only the top model and does not analyze referenced models or linked libraries. https://www.mathworks.com/help/simulink/slref/performanceadvisor.html
- Solver Profiler: It analyzes the performance of the selected solver for the model and can be particularly helpful for analyzing the performance of simulations that use variable-step solvers. https://www.mathworks.com/help/simulink/slref/solverprofiler.html
- Simulink Profiler: It helps identify bottlenecks for simulation performance by analyzing the distribution of simulation execution time among model components. https://www.mathworks.com/help/simulink/slref/simulinkprofiler.html
- Tracking variables: "Simulink.findVars" command helps to find out whether a variable is being used in a given model, and where. It can help you to identify unused variables and avoid redundant usage by comparing workspaces of different models to find common and exclusive variables. https://www.mathworks.com/company/technical-articles/tips-and-tricks-tracking-variables-in-a-simulink-model.html
