Tutorial

Analyze MPI Applications with Intel® Trace Analyzer and Collector and Intel® VTune™ Profiler

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ID 773180
Date 3/31/2023
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Document Table of Contents
Document Table of Contents x
Analyze MPI Applications with Intel® Trace Analyzer and Collector and Intel® VTune™ Profiler
Analyze MPI Applications with Intel® Trace Analyzer and Collector and Intel® VTune™ Profiler x
Prerequisites Starting Intel® Trace Analyzer Starting Intel® VTune™ Profiler Analyzing an MPI Application Summary Notices and Disclaimers
Analyzing an MPI Application x
Optimizing MPI Communications Improving Intra-process Performance
Optimizing MPI Communications x
Prepare for Analysis Ungroup MPI Functions Detect Serialization in Function Profile and Message Profile Compare Original Trace File With Idealized Trace File Remove Serialization Compare Two Trace Files Analyze Optimized Communications
Improving Intra-process Performance x
Run Basic Hotspots Analysis Interpret Results
Analyze MPI Applications with Intel® Trace Analyzer and Collector and Intel® VTune™ Profiler

Improving Intra-process Performance

Use VTune Profiler to analyze an MPI application behavior to improve the application performance on the intra-process level.

This part of the tutorial uses the poisson sample code to demonstrate how to detect and remove hotspots in your application.

Step 1: Prepare for and run Basic Hotspots analysis Run the Basic Hotspots analysis to identify the functions that took a relatively long time to execute.
Step 2: Identify hotspots and interpret results Explore the application-level performance, analyze the most time-consuming functions, and identify the hotspot code region.
Parent topic: Analyzing an MPI Application
Level Two Title