Introduction
Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In developing up-to-date applied software, this feature of computers must be taken into account for the most efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.
Parallel computing is supported by a variety of programming techniques. Improvement of program performance on computing systems of various structures (multiprocessor, multicore or cluster architecture) is possible with the multi-threaded programming model.
Open Multi-Processing (OpenMP) ...
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