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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.
- DPDK Code Analysis
- SPDK Code Analysis
Use Intel VTune Amplifier's Input and Output analysis to profile SPDK IO API, analyze PCIe traffic, and identify IO performance issues that may be caused by ineffective accesses to remote sockets, under-utilized throughput of an SPDK device, and others.
- OpenMP* Code Analysis
Use Intel® VTune™ Amplifier to analyze CPU utilization of your OpenMP* or hybrid OpenMP-MPI application and identify causes of possible inefficiencies.
- 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.