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Autore: | Kritikakou Angeliki |
Titolo: | Scalable and Near-Optimal Design Space Exploration for Embedded Systems / / by Angeliki Kritikakou, Francky Catthoor, Costas Goutis |
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 |
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 |
Opac: | Controlla la disponibilità qui |