Parallel computations based on CUDA technology are applied for solving two-dimensional problems. Heat distribution and velocity field calculation in a liquid is considered. Various iterative methods are used to solve simultaneous linear equations with sparse matrices, obtained by the initial equations approximation. The efficiency of using GPUs to accelerate calculations is estimated, which grows with the unknowns number increase.
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