Prerequisites

• Make sure your system is running Linux* OS kernel 4.14 or a newer version.
• Use one of these versions of Intel Processor Graphics:
  • Gen 8
  • Gen 9
  • Gen 11
• Your system should be running on one of these Intel processors:
  • 7th Generation Intel® Core™ i7 Processors (code name Kaby Lake)
  • 8th Generation Intel® Core™ i7 Processors (code name Coffee Lake)
  • 10th Generation Intel® Core™ i7 Processors (code name Ice Lake)
• For the Linux GUI, use:
  • GTK+ version 2.10 or newer (2.18 and newer versions are recommended)
  • Pango version 1.14 or newer
  • X.Org version 1.0 or newer (1.7 and newer versions are recommended)
• Install Intel VTune Profiler from one of these sources:
  • Standalone product download
  • Intel® oneAPI Base Toolkit
  • Intel® System Bring-up Toolkit
• Download the Intel® oneAPI HPC Toolkit which contains the Intel® oneAPI DPC++/C++ Compiler(icx/icpx) that you need to profile OpenMP applications.
• Set up environment variables. Execute the vars.sh script.
• Set up your system for GPU analysis.

Build and Compile the OpenMP Offload Application

1. Download the iso3dfd_omp_offload OpenMP Offload sample.

2. Open to the sample directory.

   cd <sample_dir>/DirectProgramming/C++/StructuredGrids/iso3dfd_omp_offload

3. Compile the OpenMP Offload application.

   mkdir build; 
   cmake -DVERIFY_RESULTS=0 ..
   make -j
   

   This generates a src/iso3dfd executable.

To delete the program, type:

make clean

Run a GPU Analysis on the OpenMP Offload Application

You are now ready to run the GPU Offload Analysis on the OpenMP application you compiled.

1. Open VTune Profiler and click on New Project to create a project.

2. On the welcome page, click on Configure Analysis to set up your analysis.

3. Select these settings for your analysis.
   • In the WHERE pane, select Local Host.
   • In the WHAT pane, select Launch Application and specify the iso3dfd_omp_offload binary as the application to profile.
   • In the HOW pane, select the GPU Offload analysis type from the Accelerators group in the Analysis Tree.
   

4. Click the Start button to run the analysis.

VTune Profiler collects data and displays analysis results in the GPU Offload viewpoint.

• In the Summary window, see statistics on CPU and GPU resource usage. Use this data to determine if your application is:
  • GPU-bound
  • CPU-bound
  • Utilizing the compute resources of your system inefficiently
• Use the information in the Platform window to see basic CPU and GPU metrics.
• Investigate specific computing tasks in the Graphics window.