Intel VTune Profiler: Improve AI/ML Application Performance

Intel VTune Profiler: Improve AI/ML Application Performance

Intel VTune do Examine CPU usage, OpenMP efficiency, memory access, and vectorization to assess application performance. Measure metrics to find memory access concerns

Intel VTune Profiler, which is driven by the oneAPI and offers comprehensive insights into hardware-level memory and compute bottlenecks

The scope of optimization for AI/ML workloads may be expanded by using Intel VTune Profiler to profile data in concurrent Python and OpenVINO programs, as you will discover in this article

VTune Profiler may assist in profiling a Python program, as shown in a recently published recipe in the Intel VTune Profiler Cookbook

The GPU Compute/Media Hotspots analysis preview function of VTune Profiler may then be used to examine the Numba implementation’s execution on a GPU

Using the VTune Profiler to profile OpenVINO-based AI applications is covered in another new recipe in the VTune Profiler cookbook

Depending on the computational architecture, you may use the VTune Profiler‘s numerous performance analysis features to find hotspots