Interpret Result Data

When the sample application exits, the Intel® VTune™ Amplifier finalizes the results and opens the Hotspots by CPU Usage viewpoint where each window or pane is configured to display code regions that consumed a lot of CPU time. To interpret the data on the sample code performance, do the following:


The screenshots and execution time data provided in this tutorial are created on a system with 8 CPU cores. Your data may vary depending on the number and type of CPU cores on your system.

Understand the Basic Hotspots Metrics

Start analysis with the Summary window. To interpret the data, hover over the question mark icons to read the pop-up help and better understand what each performance metric means.

Note that CPU Time for the sample application is equal to 38.158 seconds. It is the sum of CPU time for all application threads. Total Thread Count is 1, so the sample application is single-threaded.

The Top Hotspots section provides data on the most time-consuming functions (hotspot functions) sorted by CPU time spent on their execution.

For the sample application, the initialize_2D_buffer function, which took 22.746 seconds to execute, shows up at the top of the list as the hottest function.

The [Others] entry at the bottom shows the sum of CPU time for all functions not listed in the table.

The CPU Usage Histogram represents the Elapsed time and usage level for the available logical processors.

The tachyon_find_hotspots application ran mostly on one logical CPU. If you hover over the highest bar, you see that it spent 38.15336 seconds using one core only, which is classified by the VTune Amplifier as a Poor utilization for a multicore system. To understand what prevented the application from using all available logical CPUs effectively, explore the Bottom-up pane.

Analyze the Most Time-consuming Functions

Click the Bottom-up tab to explore the Bottom-up pane. By default, the data in the grid is sorted by Function. You may change the grouping level using the Grouping drop-down menu at the top of the grid.

Analyze the CPU Time column values. Functions that took most CPU time to execute are listed on top.

The initialize_2D_buffer function took the maximum time to execute,22.746 seconds, and had the longest poor CPU utilization (red bars). This means that the processor cores were underutilized most of the time spent on executing this function.

To get the detailed CPU usage information per function, use the Expand button in the Bottom-up pane to expand the CPU Time column.

Click the arrow sign at the initialize_2D_buffer function to expand the stacks calling this function. You see that it was called only by the render_one_pixel function.


You may change the stack representation to a "tree" style by clicking the Change Stack Layout button.

Select the initialize_2D_buffer function in the grid and explore the data provided in the Call Stack pane on the right. The Call Stack pane displays full stack data for each hotspot function, enables you to navigate between function call stacks and understand the impact of each stack to the function CPU time. The stack functions in the Call Stack pane are represented in the following format:

<module>!<function> - <file>:<line number>, where the line number corresponds to the line calling the next function in the stack.

For the sample application, the hottest function initialize_2D_buffer is called at line 143 of the render_one_pixel function in the find_hotspots.cpp file.

Analyze Performance per Thread

If you change the grouping level in the Bottom-up pane from Function/Call Stack to Thread/Function/Call Stack, you see that the initialize_2D_buffer function belongs to the tachyon_find_ho thread. To get detailed information on the thread performance, explore the Timeline pane.


Timeline area. When you hover over the graph element, the timeline tooltip displays the time passed since the application has been launched.


Threads area that shows the distribution of CPU time utilization per thread. Hover over a bar to see the CPU time utilization in percent for this thread at each moment of time. Green zones show the time threads are active.


CPU Usage area that shows the distribution of CPU time utilization for the whole application. Hover over a bar to see the application-level CPU time utilization in percent at each moment of time.

VTune Amplifier calculates the overall CPU Usage metric as the sum of CPU time per each thread of the Threads area. Maximum CPU Usage value is equal to [number of processor cores] x 100%.

The Timeline analysis identifies that the _start thread was actively utilizing CPU resources most of the time. The CPU Usage tooltip shows that CPU time values are about 100% whereas the maximum CPU time value for a system with 8 cores is 800%. This means that the processor cores were under-utilized for most of the time spent on executing the tachyon_find_hotspots application.

Next Step

Analyze Code

Para obtener información más completa sobre las optimizaciones del compilador, consulte nuestro Aviso de optimización.