Intel® Advisor User Guide

ID 766448
Date 11/07/2023
Public

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Vectorization Accuracy Levels in Command Line

For each perspective, Intel® Advisor has several levels of collection accuracy. Each accuracy level is a set of analyses and properties that control what data is collected and the level of collection details. The higher accuracy value you choose, the higher runtime overhead is added.

In CLI, each accuracy level corresponds to a set of commands with specific options that you should run one by one to get a desired result.

The following accuracy levels are available:

Comparison / Accuracy Level

Low

Medium

High

Overhead

1.1x

5 - 8x

10 - 40x

Goal

Get basic insights about how well your application is vectorized and how you can improve vectorization efficiency

Get more insights about how well your application is vectorized and the number of iterations in loops/functions

Get detailed insights about your application performance, including performance issues and detailed optimization recommendations

Analyses

Survey

Survey + Characterization (Trip Counts)

Survey + Characterization (Trip Counts, FLOP, Call Stacks) + Memory Access Patterns

Result

Basic Survey report

Survey report extended with trip count data

Extended Survey report with trip counts and floating-point and integer operations (FLOP and INTOP)

Memory Access Patters with memory traffic data and memory usage issues

You can generate commands for a desired accuracy level from the Intel Advisor GUI. See Generate Command Lines from GUI for details.

NOTE:
There is a variety of techniques available to minimize data collection, result size, and execution overhead. Check Minimize Analysis Overhead .

Consider the following command examples.

Note: In the commands below, make sure to replace the myApplication with your application executable path and name before executing a command. If your application requires additional command line options, add them after the executable name.

Low Accuracy

To run the Vectorization and Code Insights perspective with the low accuracy:

advisor --collect=survey --project-dir=./advi_results -- ./myApplication

Medium Accuracy

To run the Vectorization and Code Insights perspective with the medium accuracy:

  1. Run the Survey analysis:

    advisor --collect=survey --project-dir=./advi_results -- ./myApplication
  2. Run the Trip Counts analysis:

    advisor --collect=tripcounts --enable-data-transfer-analysis --project-dir=./advi_results -- ./myApplication

High Accuracy

To run the Vectorization and Code Insights perspective with the high accuracy:

  1. Run the Survey analysis:

    advisor --collect=survey --project-dir=./advi_results -- ./myApplication
  2. Run the Trip Counts and FLOP analysis:

    advisor --collect=tripcounts --flop --stacks --project-dir=./advi_results -- ./myApplication
  3. Run the Memory Access Pattern analysis for the loops that have the Possible Inefficient Memory Access Pattern issue:

    advisor --collect=map --select=has_issue --project-dir=./advi_results -- ./myApplication

You can view the results in the Intel Advisor GUI or generate an interactive HTML report.

See Also