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Issues on calculation algorithm mapping onto GPU-hardware parallel architecture are discussed in this work. Main features of considered hardware architecture and their impact on parallel algorithms performance are described. Performance estimation model for parallel algorithm using computational resources of graphics accelerator is proposed. Optimization of parametric function approximation using random search is taken as an example of calculation task.