Scalable and near-optimal design space exploration for embedded systems

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The work Scalable and near-optimal design space exploration for embedded systems represents a distinct intellectual or artistic creation found in University of Oklahoma Libraries. This resource is a combination of several types including: Work, Language Material, Books.

The Resource Scalable and near-optimal design space exploration for embedded systems

Label: Scalable and near-optimal design space exploration for embedded systems

Statement of responsibility: Angeliki Kritikakou, Francky Catthoor, Costas Goutis

Summary: This book describes scalable and near-optimal, processor-level design space exploration (DSE) methodologies. The authors present design methodologies for data storage and processing in real-time, cost-sensitive data-dominated embedded systems. Readers will be enabled to reduce time-to-market, while satisfying system requirements for performance, area, and energy consumption, thereby minimizing the overall cost of the final design.-Describes design space exploration (DSE) methodologies for data storage and processing in embedded systems, which achieve near-optimal solutions with scalable exploration time; -Presents a set of principles and the processes which support the development of the proposed scalable and near-optimal methodologies; -Enables readers to apply scalable and near-optimal methodologies to the intra-signal in-place optimization step for both regular and irregular memory accesses

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Context of Scalable and near-optimal design space exploration for embedded systems