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

Detect Serialization in Function Profile and Message Profile

Continue the analysis of your application with information provided by other charts.

In the Function Profile chart, open the Load Balance tab.

Go to the Charts menu to open a Message Profile.



In the Load Balance tab, expand MPI_Sendrecv and MPI_Allreduce. The Load Balancing indicates that the time spent in MPI_Sendrecv increases with the process number, while the time for MPI_Allreduce decreases.

Examine the Message Profile Chart down to the lower right corner. The color coding of the blocks indicates that messages traveling from a higher rank to a lower rank need proportionally more time while the messages traveling from a lower rank to a higher rank reveal a weak even-odd kind of pattern.

Parent topic: Optimizing MPI Communications
Level Two Title