Scalable and Near-Optimal Design Space Exploration for Embedded Systems by Angeliki KritikakouScalable and Near-Optimal Design Space Exploration for Embedded Systems by Angeliki Kritikakou

Scalable and Near-Optimal Design Space Exploration for Embedded Systems

byAngeliki Kritikakou

Hardcover | April 3, 2014

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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.
Title:Scalable and Near-Optimal Design Space Exploration for Embedded SystemsFormat:HardcoverDimensions:277 pagesPublished:April 3, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319049410

ISBN - 13:9783319049410

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Table of Contents

Introduction & Motivation.- Reusable DSE methodology for scalable & near-optimal frameworks.- Part I Background memory management methodologies.- Development of intra-signal in-place methodology.- Pattern representation.- Intra-signal in-place methodology for non-overlapping scenario.- Intra-signal in-place methodology for overlapping scenario.- Part II Processing related mapping methodologies.- Design-time scheduling techniques DSE framework.- Methodology to develop design-time scheduling techniques under constraints.- Design Exploration Methodology for Microprocessor & HW accelerators.- Conclusions & Future Directions.