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This type of paralleling is widely used in solving problems of computational modeling. The countable domain is presented as cells, which describe the environment condition in the referring points of space: pressure, density, gases percentage ratio, temperature, etc. The number of such cells can be enormous, millions and billions. Each of these sells must be processed in the same way. Here data paralleling model is very appropriate itself, as it allows to load each core allocating a certain set of cells for it. The countable domain is divided into geometrical objects, e.g., parallelepipeds, and cells included in this domain are given for processing to a certain core. In mathematical physics, such type of parallelism is called geometrical parallelism.
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