Get Started with Intel® VTune™ Profiler

Get Started

  • 2020
  • 12/04/2020
  • Public Content
Contents

Example: Profile a DPC++ Application on Windows*

Profile a sample
matrix_multiply
 DPC++ (Data Parallel C++) application with Intel® VTune™ Profiler. Get familiar with the product and understand the statistics collected for GPU-bound applications.

Prerequisites

  • Make sure you have Microsoft* Visual Studio (v2017 or newer) installed on your system.
  • Install
    Intel VTune
    Profiler
     from the
    Intel® oneAPI Base Toolkit
     or the
    Intel® System Bring-up Toolkit
    . These toolkits contain the
    Intel® oneAPI
    DPC++/C++
     Compiler
    (
    dpcpp
    ) compiler required for the profiling process.
  • Set up environment variables. Execute the
    vars.bat
     script located in the
    <
    vtune-install-dir
    >\env
     directory.
  • Ensure that the Intel oneAPI DPC++ Compiler (installed with the Intel oneAPI Base toolkit) is integrated into Microsoft Visual Studio.
  • Compile the DPC++ code using the
    -gline-tables-only
     and
    -fdebug-info-for-profiling
     options for Intel oneAPI DPC++ Compiler.
For information on installing
Intel VTune
Profiler
 in the Microsoft* Visual Studio environment, see VTune Profiler User Guide.

Build the Matrix App

Download the
matrix_multiply_vtune
 code sample package for Intel oneAPI toolkits. This contains the sample which you can use to build and profile a DPC++ application.
  1. Open Microsoft* Visual Studio.
  2. Click
    File > Open > Project/Solution
    . Find the
    matrix_multiply_vtune
     folder and select
    matrix_multiply.sln
    .
  3. Build this configuration (
    Project > Build
    ).
  4. Run the program (
    Debug > Start Without Debugging
    ).
  5. To choose a DPC++ or threaded version of the sample, use preprocessor definitions.
    1. Go to
      Project Properties > DPC++ > Preprocessor > Preprocessor Definition
      .
    2. Define
      DPCPP
       or
      USE_THR
      .

Run GPU Analysis

Run a GPU analysis on the Matrix sample.
  1. From the Visual Studio toolbar, click the
    Configure Analysis
     button.
    The
    Configure Analysis
     window opens. By default, it inherits your VS project settings and specifies the
    matrix_multiply.exe
     as an application to profile.
  2. In the
    Configure Analysis
     window, click the Browse button in the
    HOW
     pane.
  3. Select the
    GPU Compute/Media Hotspots
     analysis type from the
    Accelerators
     group in the Analysis Tree.
    GPU Analysis
  4. Click the
    Start
     button to launch the analysis with the predefined options.
VTune
Profiler
 collects data and displays analysis results in the
GPU Compute/Media Hotspots
 viewpoint. In the
Summary
 window, see statistics on CPU and GPU resource usage to understand if your application is GPU-bound. Switch to the
Graphics
 window to see basic CPU and GPU metrics representing code execution over time.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.