Scalable and Near-Optimal Design Space Exploration for Embedded Systems

Scalable and Near-Optimal Design Space Exploration for Embedded Systems by Angeliki Kritikakou, Francky Catthoor, Costas Goutis.

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...

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Bibliographic Details
Main Authors: Kritikakou, Angeliki (Author), Catthoor, Francky (Author), Goutis, Costas (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Springer eBook Collection.
Subjects:
Electronic circuits.
Microprocessors.
Electronics.
Microelectronics.
Energy.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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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