A Methodology for Cognitive NoC Design

The number of cores in a multicore chip design has been increasing in the past two decades. The rate of increase will continue for the foreseeable future. With a large number of cores, the on-chip communication has become a very important design consideration. The increasing number of cores will pus...

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Vydáno v:IEEE computer architecture letters Ročník 15; číslo 1; s. 1 - 4
Hlavní autoři: Wo-Tak Wu, Louri, Ahmed
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
adaptive
Algorithm design and analysis
ault-tolerant
cognitive process
Design
Fault tolerance
Fault tolerant systems
intelligent agent
machine learning
multicore
Multicore processing
network-on-chip
NoC
Routing
Software
adaptive
network-on-chip
cognitive process
intelligent agent
NoC
machine learning
multicore
fault-tolerant
ISSN:1556-6056, 1556-6064
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Shrnutí:The number of cores in a multicore chip design has been increasing in the past two decades. The rate of increase will continue for the foreseeable future. With a large number of cores, the on-chip communication has become a very important design consideration. The increasing number of cores will push the communication complexity level to a point where managing such highly complex systems requires much more than what designers can anticipate for. We propose a new design methodology for implementing a cognitive network-on-chip that has the ability to recognize changes in the environment and to learn new ways to adapt to the changes. This learning capability provides a way for the network to manage itself. Individual network nodes work autonomously to achieve global system goals, e.g., low network latency, higher reliability, power efficiency, adaptability, etc. We use fault-tolerant routing as a case study. Simulation results show that the cognitive design has the potential to outperform the conventional design for large applications. With the great inherent flexibility to adopt different algorithms, the cognitive design can be applied to many applications.
Bibliografie:ObjectType-Article-1
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content type line 14
ISSN:1556-6056
1556-6064
DOI:10.1109/LCA.2015.2447535