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Autonomic Networking-On-Chip: Bio-Inspired Specification, Development, and Verification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96172" target="_blank" >RIV/00216305:26230/11:PU96172 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Autonomic Networking-On-Chip: Bio-Inspired Specification, Development, and Verification

  • Original language description

    This paper describes the technique of the evolutionary design aimed at scheduling of collective communications on autonomic networks on chip (ANoC). In order to avoid contention for links and associated delays, collective communications proceed in synchronized steps. A minimum number of steps is sought for the given network topology and given sets of sender and receiver nodes. The proposed technique is not only able to re-invent optimum schedules for known symmetric topologies like hypercubes, but it can find schedules even for any asymmetric, irregular, multistage and fat topologies in case of general many-to-many collective communications. In most cases, the number of steps reaches the theoretical lower bound for the given communication pattern; if it does not, non-minimum routing can provide further improvement. Optimal schedules may serve for writing high-performance communication routines for application-specific networks on chip or for the development of communication libraries i

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F10%2F1517" target="_blank" >GAP103/10/1517: Natural Computing on Unconventional Platforms</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Autonomic Networking-On-Chip: Bio-Inspired Specification, Development, and Verification

  • ISBN

    978-1-4398-2911-0

  • Number of pages of the result

    35

  • Pages from-to

    60-94

  • Number of pages of the book

    273

  • Publisher name

    CRC Press LLC

  • Place of publication

    London

  • UT code for WoS chapter