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<h2>
  <a name="1207566"> </a><font color="#003366"  face="Verdana, Arial, Helvetica, sans-serif">7.1 	 Introduction</font>
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<p>
  <a name="1207567"> </a><font size=2  face="Verdana, Arial, Helvetica, sans-serif">This chapter describes the profiling facilities provided by the toolset for analyzing the behavior of application programs. The concepts and techniques of profiling are introduced, followed by detailed descriptions of how to use the different types of profiling provided by the toolset.</font>
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  <a name="1207177"> </a><font size=2  face="Verdana, Arial, Helvetica, sans-serif">Profiling is the process of gathering statistics about which parts of an application run most often or use most processor time. Profiling helps build an understanding of how an application executes. Profiling results can indicate where code may be best optimizing and can be used to monitor whether each function is visited.</font>
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<p>
  <a name="1204444"> </a><font size=2  face="Verdana, Arial, Helvetica, sans-serif">Profiling results depend on the input data and environment of the application; if the input data varies between application runs then the results will vary. When optimizing, it is important that the data used for profiling is typical of live application data.</font>
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  <a name="1204445"> </a><font size=2  face="Verdana, Arial, Helvetica, sans-serif">Profiling with the toolset may be performed in batch mode or interactively. In batch mode, the profiling is controlled by options on the <strong>st20run</strong> command line. In interactive mode, profiling is controlled by the <font size=2 face=Courier><strong>profile</strong></font> command, which is described in <a href="profile7.htm#1204512"><font  color="#0000ff" face="Verdana, Arial, Helvetica, sans-serif"><i>Section

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