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, whil...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.