No events are counted while logging is paused. Select to speed up program execution during profiling by pausing event logging. Select the "Stop button" button to view the results of the analysis in the Functions view.Select the "Start button" button to start the application.Select Debug to open the Debug mode, and then select Callgrind on the toolbar.In the Projects mode, select a release build configuration.It is advisable to use such a setup for Callgrind profiling. For example, typical options for GCC are: -g -O2. Many recent compilers allow you to build an optimized application with debug information present at the same time. Profiling a debug build often finds a major part of the time being spent in low-level code, such as container implementations, while the same code does not show up in the profile of a release build of the same application due to inlining and other optimizations typically done there. Since the run-time characteristics of debug and release build configurations differ significantly, analytical findings for one build configuration may not be relevant for the other. You can also use cache simulation or branch prediction to gather information about the runtime behavior of an application. It collects the number of instructions that are executed, their relationship to source lines, the relationships of the caller and callee between functions, and the numbers of such calls. Building Apps for ProfilingĬallgrind records the call history of functions that are executed when the application is run. You can run Callgrind on a remote Linux machine or device from any development machine. Note: You can install and run Callgrind and KCachegrind locally on Linux.
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