Scalable and Near-Optimal Design Space Exploration for Embedded Systems

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Kritikakou, Angeliki (Συγγραφέας), Catthoor, Francky (Συγγραφέας), Goutis, Costas (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.