Runtime Adaptive Circuit Switching and Flow Priority in NoC-Based MPSoCs

With the significant increase in the number of processing elements in NoC-based MPSoCs, communication becomes, increasingly, a critical resource for performance gains and quality-of-service (QoS) guarantees. The main gap observed in the NoC-based MPSoCs literature is the runtime adaptive techniques...

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Bibliographic Details
Published in:IEEE transactions on very large scale integration (VLSI) systems 2015-06, Vol.23 (6), p.1077-1088
Main Authors: Ruaro, Marcelo, Alceu Carara, Everton, Gehm Moraes, Fernando
Format: Article
Language:English
Subjects:
Adaptability
Monitoring
MPSoC
NoC
Quality of service
quality of service (QoS)
Routing
Runtime
Software
Switches
Throughput
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Summary:With the significant increase in the number of processing elements in NoC-based MPSoCs, communication becomes, increasingly, a critical resource for performance gains and quality-of-service (QoS) guarantees. The main gap observed in the NoC-based MPSoCs literature is the runtime adaptive techniques to meet QoS. In the absence of such techniques, the system user must statically define, for example, the scheduling policy, communication priorities, and the communication switching mode of applications. The goal of this paper is to investigate the runtime adaptation of the NoC resources, according to the QoS requirements of each application running in the MPSoC. This paper adopts an NoC architecture with duplicated physical channels, adaptive routing, support to flow priorities and simultaneous packet and circuit switching. The monitoring and adaptation management is performed at the operating system level, ensuring QoS to the monitored applications. The QoS acts in the flow priority and the switching mode. Monitoring and QoS adaptation were implemented in software, resulting in flexibility to apply the techniques to other platforms or include other adaptive techniques, as task migration or DVFS. Applications with latency and throughput deadlines run concurrently with best-effort applications. Results with synthetic and real application reduced in average 60% the latency violations, ensuring smaller jitter and throughput. The execution time of applications is not penalized applying the proposed QoS adaptation methods.
ISSN:1063-8210
1557-9999
DOI:10.1109/TVLSI.2014.2331135