![]() Work sharing directives and synchronisation of threads will be discussed within few examples. ![]() Some basic compiler or pragma directives and scope of variables will be introduced to understand the logic of threaded access to the memory. They are usually not needed in simple OpenMP programs. To understand the automatic parallelisation better we will initially take a look into runtime functions. This is a great feature of OpenMP that gives you opportunity to check if parallel execution provides the same results as a serial version. Upgraded code can still be compiled serially. OpenMP is a shared memory threaded programming model that can be used to incrementally upgrade existing code for parallel execution.
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