Intel® VTune™ Profiler

Performance Analysis Tutorial for Linux* OS

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ID 762029
Date 10/31/2024
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Document Table of Contents
Document Table of Contents x
Performance Analysis Tutorial for Linux* OS
Performance Analysis Tutorial for Linux* OS x
Understand the Workflow Run Performance Snapshot Analysis Interpret Performance Snapshot Result Data Run and Interpret Hotspots Analysis Analyze Memory Access Resolve Memory Access Issue Analyze Performance After Optimization Analyze Vectorization Efficiency Enable Platform-Appropriate Vectorization Analyze Microarchitecture Usage Compare with Previous Result Summary Notices and Disclaimers
Performance Analysis Tutorial for Linux* OS

Overview

In this tutorial, you use Intel® VTune™ Profiler for Linux* OS to identify algorithm or hardware utilization issues that can slow down the performance of your application. Learn how to make the best use of available hardware resources when you profile your application.

About This Tutorial

This tutorial guides you through the steps required to analyze and optimize the matrix sample application. The sample performs multiplication of large matrices. Follow this tutorial to understand how you use VTune Profiler to analyze and optimizing an application.

Estimated Duration

20-30 minutes.

Learning Objectives

This tutorial explains how you perform the following tasks:

  • Open the pre-configured matrix sample project in VTune Profiler.
  • Run the Performance Snapshot analysis to get an overview of performance issues. Locate the main problem areas in the matrix sample application and identify next steps for optimization.
  • Run the Hotspots and Memory Access analyses to better understand and resolve the bottlenecks you identified.
  • Within the VTune Profiler environment, locate areas in the source code that create memory access bottlenecks.
  • Use the HPC Performance Characterization analysis to identify issues related to poor use of the microarchitecture. Also learn about issues caused by poor vectorization.
  • Compare results before and after optimization.

Additional Resources

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