Description: 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. 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.
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EAN: 9783319378305
UPC: 9783319378305
ISBN: 9783319378305
MPN: N/A
Book Title: Scalable and Near-Optimal Design Space Exploration
Item Length: 23.4 cm
Item Height: 235 mm
Item Width: 155 mm
Author: Costas Goutis, Angeliki Kritikakou, Francky Catthoor
Publication Name: Scalable and Near-Optimal Design Space Exploration for Embedded Systems
Format: Paperback
Language: English
Publisher: Springer International Publishing Ag
Subject: Engineering & Technology, Computer Science, Physics
Publication Year: 2016
Type: Textbook
Item Weight: 4511 g
Number of Pages: 277 Pages
