DocumentCode :
121020
Title :
Congestion-Aware Adaptive Routing in 2D-Mesh Multicores
Author :
Avresky, Dimiter ; Chaix, Fabien ; Nicolaidis, Michael
Author_Institution :
IRIANC, Boston, MA, USA
fYear :
2014
fDate :
21-23 Aug. 2014
Firstpage :
50
Lastpage :
58
Abstract :
New CMOS processes offer cheaper but less reliable transistors. This trend foreshadows the apparition of processors consisting of hundreds and thousands of cores prone to defects. In this context, the performance of the core interconnect under faults will be critical. In this work, we propose the combination of a novel adaptive routing algorithm and several related router mechanisms, which firstly ensure message transfers under transient and permanent faults and second adapt to congestion in order to improve the interconnect performances. In effect, the widespread 2D mesh topology offers a high redundancy of routes. Hence, a fault-tolerant congestion-aware routing algorithm is able to improve substantially the interconnect efficiency under degraded conditions. Besides, the Virtual Channel allocation is optimized for performance, and a message truncation mechanism is added to cope with dynamic permanent and transient faults.
Keywords :
CMOS integrated circuits; fault tolerance; multiprocessing systems; multiprocessor interconnection networks; network routing; network topology; 2D mesh multicores; 2D mesh topology; CMOS processes; congestion-aware adaptive routing algorithm; core interconnect performance; fault-tolerant congestion-aware routing algorithm; interconnect efficiency; message transfers; message truncation mechanism; permanent faults; processors; reliable transistors; router mechanisms; routes redundancy; transient faults; virtual channel allocation; Circuit faults; Fault tolerance; Fault tolerant systems; Multicore processing; Ports (Computers); Routing; System recovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Computing and Applications (NCA), 2014 IEEE 13th International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4799-5392-9
Type :
conf
DOI :
10.1109/NCA.2014.13
Filename :
6924204
Link To Document :
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