Scalable and Near-Optimal Design Space Exploration for Embedded Systems

Describes design space exploration (DSE) methodologies for data storage and processing in embedded systems, which achieve near-optimal solutions with scalable exploration timePresents a set of principles and the processes which support the development of the proposed scalable and near-optimal methodologiesEnables readers to apply scalable and near-optimal methodologies to the intra-signal in-place optimization step for both regular and irregular memory accessesIncludes supplementary material: sn.pub/extras

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Scalable and Near-Optimal Design Space Exploration for Embedded Systems Angeliki Kritikakou, Francky Catthoor, Costas Goutis

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