Source code analysis and instrumentation

This chapter describes source code analysis and instrumentation techniques to uncover runtime data later used to decide about the most suitable compilation and/or execution strategy. We describe program metrics derived by static analysis and runtime profiling. This chapter introduces data dependence analysis and graph-based representations to capture both static and dynamic program information. Finally, we highlight the importance of customized profiling and present LARA examples that capture customized profiling strategies to extract complex code metrics.