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This paper presents a new constraint-driven method for computational pattern selection, mapping and application scheduling using reconfigurable processor extensions. The presented method is a part of DURASE system (Generic Environment for Design and Utilization of Reconfigurable Application-Specific Processors Extensions). The selected processor extensions are implemented as specialized processor instructions. They correspond to computational patterns identified as most frequently occurring or other interesting patterns in the application graph. Our methods can handle both time-constrained and resource-constrained scheduling. Experimental results obtained for the Media-Bench and Mi-Bench benchmarks show that the presented method ensures high speed-ups in application execution.