Scalable and Near-Optimal Design Space Exploration for Embedded Systems (PDF)
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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.
. 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.
- Autoren: Angeliki Kritikakou , Francky Catthoor , Costas Goutis
- 2014, 2014, 277 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319049429
- ISBN-13: 9783319049427
- Erscheinungsdatum: 21.03.2014
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 5.77 MB
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