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
- 2014, 2014, XVII, 277 Seiten, 2 farbige Abbildungen, Maße: 16,3 x 24,3 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3319049410
- ISBN-13: 9783319049410
Sprache:
Englisch
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