Scalable and Near-Optimal Design Space Exploration for Embedded Systems - Softcover

Kritikakou, Angeliki; Catthoor, Francky; Goutis, Costas

Softcover

ISBN 10: 3319378309 ISBN 13: 9783319378305

Publisher: Springer, 2016

Synopsis

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.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2016
• Language: English
• ISBN 10: 3319378309
• ISBN 13: 9783319378305
• Binding: Paperback
• Number of pages: 294