Scalable and Near-Optimal Design Space Exploration for Embedded Systems
Author | : Angeliki Kritikakou |
Publisher | : Springer Science & Business Media |
Total Pages | : 287 |
Release | : 2014-03-21 |
ISBN-10 | : 9783319049427 |
ISBN-13 | : 3319049429 |
Rating | : 4/5 (429 Downloads) |
Download or read book Scalable and Near-Optimal Design Space Exploration for Embedded Systems written by Angeliki Kritikakou and published by Springer Science & Business Media. This book was released on 2014-03-21 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.