User Guide


a Small, Representative Data Set

When you run an analysis, the
Intel® Advisor
executes the target against the supplied data set. Data set size and workload have a direct impact on application execution time and analysis speed
For example, it takes longer to process a 1000x1000 pixel image than a 100x100 pixel image. A possible reason: You may have loops with an iteration space of 1...1000 for the larger image, but only 1...100 for the smaller image. The exact same code paths may be executed in both cases. The difference is the number of times these code paths are repeated.
You can control analysis cost without sacrificing completeness by minimizing this kind of unnecessary repetition from your target's execution.
Instead of choosing large, repetitive data sets, choose small, representative data sets that fully create tasks with minimal to moderate work per task.
means just enough work to demonstrate all the different behaviors a task can perform.
Your objective: In as short a runtime period as possible, execute as many paths and the maximum number of tasks (parallel activities) as you can afford, while minimizing the repetitive computation within each task to the bare minimum needed for good code coverage.
Data sets that run in about ten seconds or less are ideal. You can always create additional data sets to ensure all your code is checked.
On Windows* OS only:
To modify the input data set in the Visual Studio IDE, do one of the following:
  • Specify Properties for the project or configuration. For example, right-click the startup project's name to display the context menu:
    1. Choose
      Configuration properties
    2. Select the type of configuration this change will apply to by selecting the type under
      , such as
      , or
      All Configurations
      . By default, properties for
      configuration are maintained separately.
    3. Edit the
      Command Arguments
      to select the appropriate data set.
    4. Click
  • Specify a different startup project that already has a reduced data set.
  • Modify the program's sources (perhaps using
    directives) and rebuild the target.
To modify the input data set using the
Intel Advisor
GUI, do one of the following
  • Specify the project properties for the target. For example:
    1. Either click
      File > Project properties...
      or the icon on the
      Intel Advisor
      toolbar. This displays the
      Project Properties
      dialog box.
    2. If needed, click the
      Analysis Target
    3. In the
      Target type
      drop-down list, choose
      Dependencies Analysis
    4. In the
      Application parameters
      , if your target's main entry point accepts command-line arguments, specify a value in this field. Either type a value, or click the
    5. When done, click
  • Modify the program's sources (perhaps using
    directives) and rebuild the target.
  • On Windows* OS only
    : If you run this configuration often, consider creating a new configuration perhaps called Dependencies for this small data set.
  • For the most current information on optimal C/C++ and Fortran build settings, see Before You Begin.

Product and Performance Information


Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804