Scalable and Near-Optimal Design Space Exploration for Embedded Systems
(Sprache: Englisch)
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...
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Klappentext zu „Scalable and Near-Optimal Design Space Exploration for Embedded Systems “
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.
Inhaltsverzeichnis zu „Scalable and Near-Optimal Design Space Exploration for Embedded Systems “
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.
Bibliographische Angaben
- Autoren: Angeliki Kritikakou , Francky Catthoor , Costas Goutis
- 2016, Softcover reprint of the original 1st ed. 2014, XVII, 277 Seiten, 2 farbige Abbildungen, Maße: 23,6 x 28,3 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319378309
- ISBN-13: 9783319378305
Sprache:
Englisch
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