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

Scalable and Near-Optimal Design Space Exploration for Embedded Systems

Buch | Softcover
XVII, 277 Seiten
2016 | 1. Softcover reprint of the original 1st ed. 2014
Springer International Publishing (Verlag)
978-3-319-37830-5 (ISBN)
117,69 inkl. MwSt
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.

Erscheinungsdatum
Zusatzinfo XVII, 277 p. 80 illus., 2 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Technik Elektrotechnik / Energietechnik
Schlagworte Circuits and Systems • Computer architecture and logic design • Design Space Exploration • DSE for Embedded Systems • Electronics and Microelectronics, Instrumentation • Electronics: circuits and components • Electronics engineering • Embedded Programmable Processors • Energy, general • Energy technology and engineering • Engineering • Memory Management Methodology • Memory Optimization Techniques • Processor Architectures • Scalable & Near-optimal DSE • Scalable & Near-optimal DSE
ISBN-10 3-319-37830-9 / 3319378309
ISBN-13 978-3-319-37830-5 / 9783319378305
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Grundlagen – Anwendungen – Perspektiven

von Matthias Homeister

Buch | Softcover (2022)
Springer Vieweg (Verlag)
34,99
Eine Einführung in die Systemtheorie

von Margot Berghaus

Buch | Softcover (2022)
UTB (Verlag)
25,00