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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Main Authors: Kritikakou, Angeliki. (Údar, http://id.loc.gov/vocabulary/relators/aut), Catthoor, Francky. (http://id.loc.gov/vocabulary/relators/aut), Goutis, Costas. (http://id.loc.gov/vocabulary/relators/aut)
Údar Corparáideach: SpringerLink (Online service)
Formáid: Leictreonach ríomhLeabhar
Teanga:English
Foilsithe: Cham : Springer International Publishing : Imprint: Springer, 2014.
Eagrán:1st ed. 2014.
Ábhair:
Rochtain Ar Líne:https://doi.org/10.1007/978-3-319-04942-7
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Achoimre: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.
Cur Síos Fisiciúil:XVII, 277 p. 80 illus., 2 illus. in color. online resource.
ISBN:9783319049427