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Oracle Solaris Studio 12.3: Performance Analyzer     Oracle Solaris Studio 12.3 Information Library
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Document Information


1.  Overview of the Performance Analyzer

The Tools of Performance Analysis

The Collector Tool

The Performance Analyzer Tool

The er_print Utility

The Performance Analyzer Window

2.  Performance Data

3.  Collecting Performance Data

4.  The Performance Analyzer Tool

5.  The er_print Command Line Performance Analysis Tool

6.  Understanding the Performance Analyzer and Its Data

7.  Understanding Annotated Source and Disassembly Data

8.  Manipulating Experiments

9.  Kernel Profiling


The Performance Analyzer Window

Note - The following is a brief overview of the Performance Analyzer window. See Chapter 4, The Performance Analyzer Tool and the online help for a complete and detailed discussion of the functionality and features of the tabs discussed below.

The Performance Analyzer window consists of a multi-tabbed display, with a menu bar and a toolbar. The tab that is displayed when the Performance Analyzer is started shows a list of functions for the program with exclusive and inclusive metrics for each function.

Powerful filtering technology can be applied to drill down into performance problems by selecting filters from a context menu in most of the tabs. Data can be filtered by function, thread, CPU, or time, and by any combination of these and other filter elements.

For a selected function, another tab displays the callers and callees of the function. This tab can be used to navigate the call tree, in search of high metric values, for example.

Two other tabs display source code that is annotated line-by-line with performance metrics and interleaved with compiler commentary, and disassembly code that is annotated with metrics for each instruction and interleaved with both source code and compiler commentary if they are available.

The performance data is displayed as a function of time in another tab.

MPI tracing data is displayed as processes, messages, and functions in a timeline in one tab, and as charts in another tab.

OpenMP parallel regions are displayed on one tab, OpenMP tasks on another tab.

Other tabs show details of the experiments and load objects, summary information for a function, memory leaks, and statistics for the process.

Other tabs show Index Objects, Memory Objects, Data Objects, Data Layout, Lines, and PCs. See the Analyzer Data Displays for more information about each tab.

For experiments that have recorded Thread Analyzer data, tabs for data Races and Deadlocks are also available. Tabs are shown only if the loaded experiments have data supporting them.

See the Oracle Solaris Studio 12.3: Thread Analyzer User’s Guide for more information about Thread Analyzer.

You can navigate the Performance Analyzer from the keyboard as well as with a mouse.