Scalable and Near-Optimal Design Space Exploration for Embedded Systems [[electronic resource] /] / by Angeliki Kritikakou, Francky Catthoor, Costas Goutis
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| Autore: |
Kritikakou Angeliki
|
| Titolo: |
Scalable and Near-Optimal Design Space Exploration for Embedded Systems [[electronic resource] /] / 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 |