engleski

Algorithmic methods for parallel modeling and visualization of dynamic processes and machine learning systems

Research is devoted to improving the efficiency of design and development of working environments for modeling and data mining. The high dimension of such models, the presence of many variables affecting the result, the choice of initial conditions require a long execution time and the use of optimization approaches to solve the problem. Providing highly efficient parallel computations in modeling and visualization of complex dynamical systems covers a new systemic organization of the use of parallel computing resources, the development of new and adaptation of existing computational methods to new parallel architectures.

algorithmic methods ; parallel modelling ; visualization ; machine learning systems

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