Intel® Advisor User Guide

ID 766448
Date 7/13/2023
Public

A newer version of this document is available. Customers should click here to go to the newest version.

Document Table of Contents
Give Feedback

GPU Roofline 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

5 - 10x

15 - 20x

20 - 50x

Goal

Analyze kernels in your application running on GPU

Analyze kernels running on GPU and loops/functions running on CPU in more details

Analyze kernels running on GPU and loops/functions running on CPU in more details

Analyses

Survey with GPU profiling + Characterization (FLOP)

Survey with GPU profiling + Characterization (FLOP, memory object analysis with light data transfer simulation between host and target device memory) + Performance Modeling for a baseline GPU

Survey with GPU profiling + Characterization (Trip Counts and FLOP with call stacks for CPU, CPU cache simulation, memory object analysis with medium data transfer simulation between host and target device memory) + Performance Modeling for a baseline GPU

Result for kernels on GPU

Memory-level GPU Roofline (for CARM, L3, SLM, GTI) with basic set of recommendations for performance optimization

Memory-level GPU Roofline (for CARM, L3, SLM, GTI) with extended set of recommendations for performance optimization

Memory-level GPU Roofline (for CARM, L3, SLM, GTI) with extended set of recommendations for performance optimization

Result for loops/functions on CPU

Cache-aware CPU Roofline for L1 cache

Memory-level Roofline with call stacks (for L1, L2, L3, DRAM)

Memory-level Roofline with call stacks (for L1, L2, L3, DRAM)

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 GPU Roofline Insights perspective with the low accuracy:

advisor --collect=roofline --profile-gpu --enable-data-transfer-analysis --project-dir=./advi_results -- ./myApplication

Medium Accuracy

  1. Run the GPU Roofline.
    advisor --collect=roofline --profile-gpu --enable-data-transfer-analysis --track-memory-objects --data-transfer=light --project-dir=./advi_results -- ./myApplication
  2. Run Performance Modeling for the GPU that the application runs on.
    advisor --collect=projection --profile-gpu --enforce-baseline-decomposition --model-baseline-gpu --project-dir=./advi_results

    NOTE:
    The --model-baseline-gpu option automatically enables --enforce-baseline-decomposition. To simplify the command, you can skip the --enforce-baseline-decomposition option and use only --model-baseline-gpu.

High Accuracy

  1. Run the GPU Roofline.
    advisor --collect=roofline --profile-gpu --stacks --enable-cache-simulation --enable-data-transfer-analysis --track-memory-objects --data-transfer=medium --project-dir=./advi_results -- ./myApplication
  2. Run Performance Modeling for the GPU that the application runs on.
    advisor --collect=projection --profile-gpu --enforce-baseline-decomposition --model-baseline-gpu --project-dir=./advi_results

    NOTE:
    The --model-baseline-gpu option automatically enables --enforce-baseline-decomposition. To simplify the command, you can skip the --enforce-baseline-decomposition option and use only --model-baseline-gpu.

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

See Also