OpenMP and Win32 Threads Usage Example
by Stanislav Bratanov
The code example computes a trigonometric formula for arrays of input coefficients and parallels the computation either using OpenMP directives or creating threads manually. The performance of both approaches is measured and compared.
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Environment Note:
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Identify the source of performance degradations or low performance gains of applications running on systems that support Hyper-Threading Technology. Once applications have been tuned for the Pentium® 4 processor, they can be tuned for processors that support Hyper-Threading Technology as a separate process. In some cases, however, the tuning process may not yield acceptable increases in performance.
Apply threading to functional-decomposition problems in the Implementation Phase of application development. Functional-decomposition problems are situations where the roles of different threads are defined by having different functionality (as opposed to identical functionality that is applied to different data).
Develop a methodology for the tuning phase of the development cycle. The tuning phase increases performance incrementally where possible.
Use Intel® threading tools to optimize the efficiency of application development. In order to use the tools for maximum impact, it is necessary for developers to understand the roles of each tool in automating the development endeavor.
Develop a methodology for the analysis phase of the development cycle. Typically, the analysis stage for a threaded application involves profiling a serial application to determine regions of the application that are potential candidates for parallelization.
Develop a methodology for the debugging & testing phase of the development cycle. In most situations, the debug and testing stages of threading go hand in hand.
