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



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Autore: Kritikakou Angeliki Visualizza persona
Titolo: Scalable and Near-Optimal Design Space Exploration for Embedded Systems / / by Angeliki Kritikakou, Francky Catthoor, Costas Goutis Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (287 p.)
Disciplina: 004.1
006.2/2
620
621.042
Soggetto topico: Electronic circuits
Microprocessors
Electronics
Microelectronics
Energy
Circuits and Systems
Processor Architectures
Electronics and Microelectronics, Instrumentation
Energy, general
Persona (resp. second.): CatthoorFrancky
GoutisCostas
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
Sommario/riassunto: 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.   • Describes design space exploration (DSE) methodologies for data storage and processing in embedded systems, which achieve near-optimal solutions with scalable exploration time; • Presents a set of principles and the processes which support the development of the proposed scalable and near-optimal methodologies; • Enables readers to apply scalable and near-optimal methodologies to the intra-signal in-place optimization step for both regular and irregular memory accesses.
Titolo autorizzato: Scalable and Near-Optimal Design Space Exploration for Embedded Systems  Visualizza cluster
ISBN: 3-319-04942-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299494903321
Lo trovi qui: Univ. Federico II
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