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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kritikakou, Angeliki (Autor), Catthoor, Francky (Autor), Goutis, Costas (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Kritikakou, Angeliki.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Scalable and Near-Optimal Design Space Exploration for Embedded Systems  |h [electronic resource] /  |c by Angeliki Kritikakou, Francky Catthoor, Costas Goutis. 
250 |a 1st ed. 2014. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a XVII, 277 p. 80 illus., 2 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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505 0 |a 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. 
520 |a 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. 
650 0 |a Electronic circuits. 
650 0 |a Microprocessors. 
650 0 |a Computer architecture. 
650 0 |a Electronics. 
650 0 |a Energy policy. 
650 0 |a Energy and state. 
650 0 |a Electric power production. 
650 1 4 |a Electronic Circuits and Systems. 
650 2 4 |a Processor Architectures. 
650 2 4 |a Electronics and Microelectronics, Instrumentation. 
650 2 4 |a Energy Policy, Economics and Management. 
650 2 4 |a Electrical Power Engineering. 
650 2 4 |a Mechanical Power Engineering. 
700 1 |a Catthoor, Francky.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Goutis, Costas.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319049410 
776 0 8 |i Printed edition:  |z 9783319049434 
776 0 8 |i Printed edition:  |z 9783319378305 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-04942-7  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)