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  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2011

    3838334124 / 9783838334127

    • Couverture souple

    Vendeur : moluna, Greven, Allemagnemoluna

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 63,42

    EUR 48,99 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    Etat : New.

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2011

    3838334124 / 9783838334127

    • Couverture souple
    • impression à la demande

    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

    Vendeur avec une évaluation de 5 étoiles
    Contacter le vendeur

    Etat: Neuf

    EUR 86,42

    EUR 35,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 1 disponible

    Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - On high-performance embedded computing, we are witnessing the trend to integrate multiple cores in Multi-Processor Systems-on-Chip (MPSoCs). Networks- on-chip (NoCs) have been proposed to be a scalable, predictable and flexible paradigm to design complex NoC-based Many-core MPSoCs. However, since the number of cores increases exponentially, new challenges such as the design of suitable NoCs, and how to exploit parallelism on a chip arise. In this book, we showour EDA tool (xENoC - NoCMaker) that allows design, simulation and fast-prototype of NoC-based systems, as well as the trade-offs on the design of Network Interfaces (NI) to provide interoperability between cores of different protocols (AMBA/OCP-IP) with Quality-of-Service (QoS) support at a reasonable power and area costs. In the second part, the book tries to shed light on system-level software, runtime QoS support and middleware APIs, and a MPI-like parallel programming model (ocMPI), which offers SW programmers a way to express message-passing parallelism on NoC-based MPSoCs. This book should be especially useful for researchers on the field of parallel embedded computing on many- core on-chip systems. …