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Scalable and Near-Optimal Design Space Exploration for Embedded Systems [Repost]
![Scalable and Near-Optimal Design Space Exploration for Embedded Systems [Repost]](https://pixhost.icu/avaxhome/5d/8c/002d8c5d.jpeg)
Angeliki Kritikakou, Francky Catthoor, Costas Goutis - Scalable and Near-Optimal Design Space Exploration for Embedded Systems
Published: 2014-04-03 | ISBN: 3319049410 | PDF | 277 pages | 5 MB
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.