Constraint-driven identification of application specific instructions in the DURASE system
This paper presents a new constraint-driven method for fast identification of computational patterns that is a part of DURASE system (Generic Environment for Design and Utilization of Reconfigurable Application-Specific Processors Extensions). The patterns identified by our system form a base for application specific instruction selection and processor extension generation. Our method identifies a