Global Data (Sample Points)

See Also

The global data that is recorded by the Collector includes a time stamp and a variety of execution statistics, including times spent in the microaccounting states. Each global data point is called a sample point. The time stamp is used to divide the program's execution time into sections called samples. The samples are displayed graphically in the Timeline display and the time differences between consecutive sample points, for both elapsed time and times corresponding to timing metrics, are listed in the Event tab.

Global data can be recorded periodically, manually, by calls to a Collector API function, and when the program stops in dbx. Global data is also recorded when collection is initiated and terminated and before and after a descendant process is created.

You can filter the data that is displayed in the Performance Analyzer using samples to define time segments of your program.

See also
The Timeline Tab
The Event Tab
Filtering the Data
Finding a Period of Inefficient CPU Usage

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