![]() (The profiles available vary depending on the product version and any customization that has been performed.) Based on the selected profile(s), it generates a set of log files, which are placed in the output directory. The ^SystemPerformance utility lets you select one or more profiles to run. In addition, you can add, modify, and delete profiles using the API that is included with the utility. You can run the profiles in the Terminal (see Running the ^SystemPerformance Utility in this chapter) or schedule runs using the Task Manager in the Management Portal (see Scheduling the ^SystemPerformance Utility with Task Manager in this chapter). The latest version is available on the WRC distribution site Opens in a new tab under Tools. To see the function calls that use the highest percentage of the CPU in the call tree view, click Expand Hot Path.This utility may be updated between releases. Modules The name of the module containing the function, or the number of modules containing the functions in an node. High Self CPU values may indicate a performance bottleneck within the function itself. Self CPU indicates how much work was done by the code in the function body, excluding the work done by functions that were called by it. High total CPU values point to the functions that are most expensive overall. Total CPU indicates how much work was done by the function and any functions called by it. Here is more information on the column values: When Show External Code is disabled, app methods can also contain an node. The children of the second-level node are the user-code methods and asynchronous routines that are called or created by the second-level system and framework code.Ĭhild nodes of a method contain data only for the calls of the parent method. ![]() In most apps, when the Show External Code option is disabled, the second-level node is an node that contains the system and framework code that starts and stops the app, draws the UI, controls thread scheduling, and provides other low-level services to the app. The top-level node in CPU Usage call trees is a pseudo-node To see a higher-level view showing the order in which the functions are called, select Call Tree from the drop-down list at the top of the pane.Įach numbered area in the figure relates to a step in the procedure. High values in Function Body may indicate a performance bottleneck within the function itself. If you are running Visual Studio Enterprise, you can also enable or disable IntelliTrace in Tools > Options > IntelliTrace. ![]() You can choose whether to see CPU Usage, Memory Usage, or both, with the Select Tools setting on the toolbar. To bring up the window again, click Debug > Windows > Show Diagnostic Tools. The Diagnostic Tools window appears automatically unless you have turned it off. Set a second breakpoint at the end of the function or region of code that you want to analyze.īy setting two breakpoints, you can limit data collection to the parts of code that you want to analyze. Open the project you want to debug in Visual Studio and set a breakpoint in your app at the point where you want to examine CPU usage. In many cases, the performance bottleneck of your application may be caused by something other than your CPU, such as memory, rendering UI, or network request time. If CPU Usage does not give you the data that you need, other profiling tools in the Performance Profiler provide different kinds of information that might be helpful to you.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |