The Performance Analyzer Tool

The Performance Analyzer tool displays the data recorded by the Collector, so that you can examine the information. The Performance Analyzer processes the data and displays various metrics of performance at the level of the program, the functions, the source lines, and the instructions. These metrics are classed into five groups:

• Clock profiling metrics

• Hardware counter metrics

• Synchronization delay metrics

• Memory allocation metrics

• MPI tracing metrics

The Performance Analyzer also displays the raw data in a graphical format as a function of time. The Performance Analyzer can create a mapfile that you can use to change the order of function loading in the program’s address space, to improve performance.

See Chapter 4, The Performance Analyzer Tool and the online help in the IDE or the Performance Analyzer GUI for detailed information about the Performance Analyzer.

Chapter 5, Kernel Profiling describes how you can use the Sun Studio performance tools to profile the kernel while the Solaris^TM Operating System (Solaris OS) is running a load.

Chapter 6, The er_print Command Line Performance Analysis Tool describes how to use the er_print command line interface to analyze the data collected by the Collector.

Chapter 7, Understanding the Performance Analyzer and Its Data discusses topics related to understanding the performance analyzer and its data, including: how data collection works, interpreting performance metrics, call stacks and program execution, and annotated code listings. Annotated source code listings and disassembly code listings that include compiler commentary but do not include performance data can be viewed with the er_src utility (see Chapter 8, Understanding Annotated Source and Disassembly Data for more information).

Chapter 8, Understanding Annotated Source and Disassembly Data provides an understanding of the annotated source and disassembly, providing explanations about the different types of index lines and compiler commentary that the Performance Analyzer displays.

Chapter 9, Manipulating Experiments describes how to copy, move, delete, archive, and export experiments.