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Code Profiling Scenarios
Explore end-to-end performance analysis scenarios for managed code profiling and applications using Intel® runtime libraries:
- Java* Code Analysis
Use the Intel® VTune™ Amplifier to analyze Java* applications executed with Oracle* or OpenJDK* (Linux* only).
- Python* Code Analysis
Explore performance analysis options provided by the Intel® VTune™ Amplifier for Python* applications to identify the most time-consuming code sections and critical call paths.
- Intel® Threading Building Blocks Code Analysis
Use the Intel® VTune™ Amplifier for performance analysis of application targets using Intel Threading Building Blocks (Intel TBB).
- MPI Code Analysis
Explore using Intel® VTune™ Amplifier command line interface (amplxe-cl) for profiling an MPI application.
- GPU Application Analysis on Intel® HD Graphics and Intel® Iris® Graphics
Use the Intel® VTune™ Amplifier to profile graphics applications and correlate activities on both the CPU and GPU.
- Frame Data Analysis
Explore frame analysis options provided by the Intel® VTune™ Amplifier, which are especially useful for identifying a long latency activity.
- Task Analysis
Focus your performance analysis on a task - program functionality performed by a particular code section.