The -memory option is a great idea. But as DA states above it can really slow the profiler down. I had to turn it off, with the -nomemory option, to get reasonable performance. It is using its own memory allocation internally, though…. Detecting memory leak is never easy […]. Since then, I have posted several articles about performance […]. Hi Yair, Can you explain a little more how you used the profiler to detect leaks? Any help would be appreciated! You could also use non-Matlab tools e.
Note in advance that hunting down memory leaks in Matlab is very difficult, due to the lack of good monitoring tools AFAIK. If you or anyone else find any leaks, please report them here or directly to me. See Also depdir , depfun , profreport , tic. M-functions, M-subfunctions, and MEX-functions; mmex is the default value.
Same functions as for mmex plus built-in functions such as eig. The structure's fields are Field. Run profile for code that computes the Lotka-Volterra predator-prey population model. Then, you can tune its performance. Execution Modes. Configure the real-time application and the real-time RTOS.
Troubleshoot System Upgrade for Rb. Troubleshoot Model Upgrade for Rb. Apply explicit partitioning to enhance concurrent execution of a real-time application that you generate by using Simulink Real-Time. Profile the task execution time and function execution time of your real-time application running on the target computer. Use the Log Event block inserts a user-defined event into the execution profiling event stream.
To find potential improvements in your code, look for functions in the flame graph or function table that use a significant amount of time or that are called most frequently. Click a function name to display detailed information about the function, including information about individual code lines. The Profiler displays detailed information for the function. At the top of the page, next to the name of the current function, the Profiler displays the number of times the function was called by a parent function and the total time spent in the function.
Use the displayed links underneath the flame graph to open the function in your default editor or copy the displayed results to a separate window. You also can click the Profile Summary bar at the bottom of the flame graph. Once you have clicked an individual function, the Profiler displays additional information in these sections:. The graph shows the hierarchy of the profiled function, including child functions displayed above the current function and parent functions displayed below the current function.
User-defined functions display in blue , and MathWorks functions display in gray. Hover over the bar in the graph to see the actual percentage and time values as well as the full function name.
Click a bar representing a function to display detailed information about the function. List of functions that call the profiled function, including the number of times the parent function called the profiled function. Click a function name in the list to display detailed information about the function. List of code lines in the profiled function that used the greatest amount of processing time.
Click a code line to see it in the Function Listing section, within the context of the rest of the function code. List of all the functions called by the profiled function. List of problems and potential improvements for the profiled function. For each line of code, the Function listing includes these columns:. Click a line number in the Function listing to open the function in your default editor. The source code for the function. The color of the text indicates the following:.
By default, the Profiler highlights lines of code with the longest execution time. The darker the highlighting, the longer the line of code took to execute. To change the highlighting criteria, go to the Profiler tab, and in the View section, click Highlight. Select from the available highlighting options. For example, to highlight lines of code that did not run, select the Non coverage option. To compare the impact of changes after you have made improvements to your code, save your profiling results.
To save your results, use the displayed link underneath the flame graph to copy the displayed results to a separate window. You also can print your results from the Profiler by going to the Profiler tab and clicking the Print button.
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