User Guide


Offload Modeling
Perspective from GUI

  • For a SYCL, OpenMP* target, or OpenCL™ application, do
    of the following:
  • In the graphical-user interface (GUI): Create a project and specify an analysis target and target options.
To configure and run the
Offload Modeling
perspective from the GUI:
  1. Select a baseline device from the drop-down. This is the device that your application runs on for the Intel® Advisor to collect performance data.
    • To analyze an application running on a CPU (for example, C, C++, or Fortran), make sure
      is selected.
    • To analyze an application running on a GPU (for example, SYCL, OpenMP target, OpenCL), select the
      baseline device.
      If you select GPU, make sure the
      GPU Profiling
      checkbox is enabled under Survey, Characterization, and Performance Modeling analyses.
  2. Configure the perspective and set analysis properties, depending on desired results.
    • Select a collection accuracy level with analysis properties preset for a specific result:
      • Low
        : Model your application performance for a target device and get the basic low-confidence information about potential speed-up and performance.
      • Medium
        : Model your application performance and data transfers between host and target devices.
      • High
        : Model your application performance, data transfers, and memory objects attribution to improve offload modeling accuracy. For application running on CPU, analyze loop-carried dependencies.
    • Select the analyses and properties manually to adjust the perspective flow to your needs. The accuracy level is set to
    The higher accuracy value you choose, the higher runtime overhead is added to your application. The
    indicator shows the overhead for the selected configuration. For the
    accuracy, the overhead is calculated automatically for the selected analyses and properties.
    The Dependencies analysis (included in the high accuracy for CPU baseline device) adds the highest overhead and is not required if your application is highly parallelized or vectorized on a CPU or if you know that key hotspots in your application do not have loop-carried dependencies. You may need to run it for a CPU application if it has scalar loops/functions or you are not sure about dependencies in your code. See Check How Assumed Dependencies Affect Modeling for a workflow to learn about potential dependencies in your code.
    By default, accuracy is set to
    . See Offload Modeling Accuracy Presets for more details.
  3. Select a target platform from the
    Target Platform Model
    drop-down. This is a platform that the Intel Advisor models your application performance on. The following target platforms are available:
    Intel® Data Center GPU Max 448
    Intel® Data Center GPU Max 512
    XeHPG 512
    Intel® Arc™ Graphics with 512 vector engines
    XeHPG 256
    Intel® Arc™ Graphics with 256 vector engines
    Gen11 GT2
    Intel® Iris® Plus Graphics
    XeLP Max 96
    Intel® Iris® X
    MAX Graphics
    XeLP GT2
    Intel® Iris® X
    Gen9 GT2
    Intel® HD Graphics 530
    Gen9 GT3e
    Intel® Iris® Graphics 550
    Gen9 GT4e
    Intel® Iris® Pro Graphics 580
  4. Click
    to run the perspective.
    While the perspective is running, you can do the following in the
    Analysis Workflow
    • Control the perspective execution:
      • Stop data collection and see the already collected data: Click the button.
      • Pause data collection: Click the button.
      • Cancel data collection and discard the collected data: Click the button.
    • Expand an analysis with to control the analysis execution:
      • Pause the analysis: Click the button.
      • Stop the currently running analysis and start the next analysis selected: Click the button.
      • Interrupt execution of all selected analyses and see the already collected data: Click the button.
    After you run the
    Offload Modeling
    perspective, the collected Survey data becomes available for all other perspectives. If you switch to another perspective, you can skip the Survey step and run only perspective-specific analyses.
To run the CPU-to-GPU
Offload Modeling
perspective with the Medium accuracy from the command line interface:
advisor --collect=offload --project-dir=./advi_results -- ./myApplication
To run the GPU-to-GPU
Offload Modeling
perspective with the Medium accuracy from the command line interface:
advisor --collect=offload --gpu --project-dir=./advi_results -- ./myApplication
See Run Offload Modeling Perspective from Command Line for details. See Run GPU-to-GPU Performance Modeling from Command Line for details about the GPU-to-GPU
Offload Modeling
To generate command lines for selected perspective configuration, click the
Command Line
Once the
Offload Modeling
perspective collects data, the report opens showing a
tab with performance metrics estimated for the selected target platform, such as estimated speedup, potential performance bottlenecks, and top offloaded loops. Depending on the selected accuracy level and perspective properties, continue to investigate the results. See Explore Offload Modeling Results

Product and Performance Information


Performance varies by use, configuration and other factors. Learn more at