Get Started with Intel® VTune™ Profiler for Windows* OS
Before You Begin
Install Intel® VTune™ Profiler on your Windows* system.
By default, the <install-dir> for oneAPI components is Program Files (x86)\Intel\oneAPI.
Build your application with symbol information in Release with debug info mode. Enable all optimizations. For detailed information on compiler settings, see the VTune Profiler online user guide.
You can also use the matrix sample application available in <install-dir>\vtune\<version>\samples\en\C++\matrix. Find corresponding sample results in the matrix_results folder in the same location.
Set up the environment variables: Run the <install-dir>\setvars.bat script.
Step 1: Start Intel® VTune™ Profiler
Start Intel VTune Profiler through one of these ways and set up a project. A project is a container for the application you want to analyze, the type of analysis, and data collection results.
Source |
Start VTune Profiler |
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Standalone (GUI) |
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Standalone (Command line) |
Run the vtune command. |
Microsoft* Visual Studio* IDE |
Open your solution in Visual Studio. The VTune Profiler toolbar is automatically enabled and your Visual Studio project is set as an analysis target. |
Step 2: Configure and Run Analysis
After creating a new project, the Configure Analysis window opens with these default values:
The Performance Snapshot analysis type is a good starting point for your profiling experience with Intel® VTune™ Profiler. This analysis gives you a general overview of your application performance with recommendations for areas to focus.
In the Launch Application section, browse to the location of your application executable file.
Click Start to run Performance Snapshot on your application. This analysis presents a general overview of issues affecting the performance of your application on the target system.
Step 3: View and Analyze Performance Data
When data collection completes, VTune Profiler displays analysis results in the Summary window. Here, you see a performance overview of your application.
The overview typically includes several metrics along with their descriptions.
Expand each metric for detailed information about contributing factors. |
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A flagged metric indicates a value outside acceptable/normal operating range. Use tool tips to understand how to improve a flagged metric. |
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See guidance on other analyses you should consider running next. The Analysis Tree highlights these recommendations. |
Next Steps
Once you have an overall assessment of application performance with VTune Profiler, continue to check if your algorithm requires tuning.
Follow a tutorial to analyze common performance bottlenecks.
- Once your algorithm is well-tuned, run Performance Snapshot again to calibrate results and identify potential performance improvements in other areas.