scholarly journals Achieving network on chip fault tolerance by adaptive remapping

2009 ◽  
Author(s):  
Cristinel Ababei ◽  
Rajendra Katti
Keyword(s):  
Fault Tolerance ◽  
Network On Chip ◽  
On Chip

Reliable Fault-Tolerance Routing Technique for Network-on-Chip Interconnect

2021 ◽  
pp. 767-775
Author(s):  
Jayshree ◽  
Gopalakrishnan Seetharaman ◽  
Debadatta Pati
Keyword(s):  
Fault Tolerance ◽  
Network On Chip ◽  
On Chip

Mechanisms to Provide Fault Tolerance to a Network-on-Chip

2017 ◽  
Vol 15 (6) ◽  
pp. 1034-1042 ◽  
Author(s):  
Thiago Felski Pereira ◽  
Douglas Rossi de Melo ◽  
Eduardo Augusto Bezerra ◽  
Cesar Albenes Zeferino
Keyword(s):  
Fault Tolerance ◽  
Network On Chip ◽  
On Chip

scholarly journals A Middleware Approach to Achieving Fault Tolerance of Kahn Process Networks on Networks on Chips

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Onur Derin ◽  
Erkan Diken ◽  
Leandro Fiorin
Keyword(s):  
Fault Tolerance ◽  
Open Source ◽  
Execution Time ◽  
Initial Step ◽  
Network On Chip ◽  
Distributed Model ◽  
Total Execution Time ◽  
Process Networks ◽  
Kahn Process ◽  
On Chip

Kahn process networks (KPNs) is a distributed model of computation used for describing systems where streams of data are transformed by processes executing in sequence or parallel. Autonomous processes communicate through unbounded FIFO channels in absence of a global scheduler. In this work, we propose a task-aware middleware concept that allows adaptivity in KPN implemented over a Network on Chip (NoC). We also list our ideas on the development of a simulation platform as an initial step towards creating fault tolerance strategies for KPNs applications running on NoCs. In doing that, we extend our SACRE (Self-Adaptive Component Run Time Environment) framework by integrating it with an open source NoC simulator, Noxim. We evaluate the overhead that the middleware brings to the the total execution time and to the total amount of data transferred in the NoC. With this work, we also provide a methodology that can help in identifying the requirements and implementing fault tolerance and adaptivity support on real platforms.

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