Download cpu profiler android

Write your app. Build and run your app. Run apps on the emulator. Run apps on a hardware device. Configure your build. Optimize your build speed. Debug your app. Test your app. Profile your app. Android Studio profilers. Note that profiler threads are added to the app process and consume additional CPU time. I assume that now you have already experienced frames skipping. Look at the Logcat since the choreographer should have warned you already about heavy processing:. Above the chart there is a view representing user interaction with the app.

All the user input events show up here as purple circles. You can see one circle that represents the swipe we performed to refresh data. A little lower you can find currently displayed Sample1Activity. This area is called Event timeline. At the bottom you can see the Thread activity timeline belonging to the app process.

Each thread is in one of three states indicated by colours: active green , waiting yellow or sleeping grey. We can record a method trace to see what is happening in there. When you are done, note that the method trace pane has just appeared:. We will start our analysis from the Call Chart displayed in the first tab. The horizontal axis represents the passage of time.

Callers and their callees from top to bottom are displayed on the vertical axis. Note that total time for each method call is a sum of method self-time and its callees time.

From this chart, you can deduce that the performance issue is somewhere inside generateItems method. Move a mouse over the bar to check more details about elapsed time.

You can also double-click bar to see method declaration in the code. It is quite hard to deduce more from this tab because it requires a lot of zooming and scrolling, so we will switch to the next tab. It aggregates same call stacks, inverting chart from the previous tab. Instead of many short horizontal bars, single longer bar is displayed.

Just look at it now:. Two suspicious methods found. Would you believe that getRemainingTime the total method execution time will take over 2 seconds and LocalDateTime. Note that this time includes also any period of time when thread was not active. In the upper right corner of the method trace pane, you can switch timing information to be displayed in the Thread Time.

If we analyse a single thread that might be preferred option since it shows CPU time consumption not affected by other threads. Configure your build. Optimize your build speed. Debug your app. Test your app. Profile your app. Android Studio profilers. Profile CPU activity. Benchmark your app. Measure performance. When you launch a debuggable app, that process is selected by default. Android Profiler continues to collect profiling data until you disconnect the device or click End Session.

Figure 1. Android Profiler shared timeline view. This shared timeline view only shows the timeline graphs. To access the detailed profiling tools, click the graph that corresponds to the performance data that you want to inspect. For example, to access tools to inspect the heap and track memory allocations, click the Memory graph.

Not all profiling data is visible by default. If you see a message that says "Advanced profiling is unavailable for the selected process," you can enable advanced profiling in your run configuration to view the additional data. You can save Profiler data as sessions , which are retained until you quit Android Studio. By recording profiling information in multiple sessions and switching between them, you can compare resource usage in various scenarios.

To start a new session, click the Start a new profiling session button and select an app process from the dropdown menu that appears. When you record a trace or capture a heap dump , Android Studio adds that data along with your app's network activity as a separate entry to the current session.

To stop adding data to the current session, click Stop the current profiling session.