How to Use Thread Analyzer to Find Data Races - Oracle® Solaris Studio 12.4: Thread Analyzer User's Guide

Oracle® Solaris Studio 12.4: Thread Analyzer User's Guide

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Updated: December 2014

Oracle^® Solaris Studio 12.4: Thread Analyzer User's Guide

Document Information

Using This Documentation

Chapter 1 What is Thread Analyzer and What Does It Do?

Chapter 2 Data Race Tutorial

Data Race Tutorial Source Files

Getting the Data Race Tutorial Source Files

Source Code for prime_omp.c

Source Code for prime_pthr.c

How to Use Thread Analyzer to Find Data Races

Instrument the Code

Create a Data-Race-Detection Experiment

Examine the Data-Race-Detection Experiment

Understanding the Experiment Results

Data Races in prime_omp.c

Data Races in prime_pthr.c

Call Stack Traces of Data Races

Diagnosing the Cause of a Data Race

Check Whether or Not the Data Race is a False Positive

Check Whether or Not the Data Race is Benign

Fix the Bug, Not the Data Race

False Positives

User-Defined Synchronizations

Memory That is Recycled by Different Threads

Benign Data Races

A Program for Finding Primes

A Program that Verifies Array-Value Types

A Program Using Double-Checked Locking

Chapter 3 Deadlock Tutorial

Appendix A APIs Recognized by Thread Analyzer

Appendix B Tips for Using Thread Analyzer

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How to Use Thread Analyzer to Find Data Races

Thread Analyzer follows the same “collect-analyze” model that the Oracle Solaris Studio Performance Analyzer uses.

There are three steps involved in using Thread Analyzer:

Instrument the Code
Create a Data-Race-Detection Experiment
Examine the Data-Race-Detection Experiment

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