Tutorial: Analyzing OpenMP* and MPI Applications

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ID 773235
Date 5/20/2020
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Document Table of Contents x
Tutorial: Analyzing an OpenMP* and MPI Application
Tutorial: Analyzing an OpenMP* and MPI Application x
Analyzing the Performance of an OpenMP* and MPI Application Build and Configure Application Get a Performance Overview with Application Performance Snapshot Identify Communication Issues with Intel® Trace Analyzer and Collector Tune MPI-Bound Code Analyze Vector Instruction Set with Intel® VTune™ Profiler Analyze Serial and Parallel Code Efficiency with Intel® VTune™ Profiler Summary Key Terms Notices and Disclaimers
Tutorial: Analyzing an OpenMP* and MPI Application

Tutorial: Analyzing an OpenMP* and MPI Application

Intel® Trace Analyzer and Collector

Application Performance Snapshot

Intel® VTune™ Profiler for Linux* OS

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Discover how to use Intel® Parallel Studio to tune hybrid applications by reviewing MPI utilization inefficiencies and balancing thread load levels.

About This Tutorial

This tutorial uses the sample heart_demo and guides you through basic steps required to analyze hybrid OpenMP* and MPI code for inefficiencies using Intel® VTune™ Profiler's Application Performance Snapshot, Intel® Trace Analyzer and Collector, and Intel VTune Profiler.

The tutorial was last updated for the Intel Parallel Studio 2018 product release. The analysis was run on 8 cluster nodes with Intel® Xeon Phi™ processors (formerly code named Knights Landing), each with 256 logical CPUs.

Estimated Duration

Read tutorial: 10 minutes

Run through tutorial with sample application: 60+ minutes

Learning Objectives

After you complete this tutorial, you should be able to:

  • Build an application using the MPI library and Intel® C++ compiler.

  • Run the Application Performance Snapshot tool to get a high-level overview of performance optimization opportunities.

  • Run Intel Trace Analyzer and Collector to identify MPI-bound code.

  • Analyze the communication pattern of the source code.

  • Run the HPC Performance Characterization Analysis with Intel VTune Profiler to locate vectorization and parallelism issues in the sample code.

  • Compare results before and after optimization.

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