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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
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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
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