Task model suitable for dynamic load balancing of real-time applications in NoC-based MPSoCs

Filho, Sérgio Johann; Aguiar, Alexandra; Magalhães, Felipe Göhring de; Longhi, Oliver; Hessel, Fabiano

doi:10.1109/iccd.2012.6378616

Cited by 4 publications

(2 citation statements)

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“…Real-life application. Three real-time embedded benchmarks are considered to evaluate the performance of the proposed MVCAA: Video Object Plane Decoder (VOPD) application [33,34], MPEG4 application [35] and an autonomous vehicle (AutoV) application [36]. VOPD application consists of 17 tasks that exchange data.…”

Section: 2mentioning

confidence: 99%

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Virtual Channel aware Scheduling for Real Time Data-Flows on Network on-Chip

Meghabber

Loukil

Olejnik

et al. 2019

SCPE

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The increasing complexity of real-time applications presents a challenge to researchers and software designers. The tasks of these applications usually exchange large volume of data-flows and often need to satisfy real-time constraints. Although the Network on-Chip (NoC) paradigm offers an underlying communication infrastructure that gives more hardware resources, it is unable to safe tasks and data-flows deadlines. In recent works, preemptive wormhole switching with fixed priority has been introduced to meet real-time constraints of real-time applications. However, it suffers some bottleneck such as hardware requirement where none of these works takes account of the number of implemented virtual channels on the router. To alleviate this problem, we propose a novel scheduler for soft real-time data-flows application that takes into account the lack on resource in routers in term of Virtual channels. Experimental results obtained on a benchmark of synthetic and soft real applications have shown the efficiency of our approach in term of real-time constraints satisfaction for data-flow traffics and hardware requirements.

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Section: 2mentioning

confidence: 99%

“…RunArbitrationT oSelectGrantedF lit; end for 23: end for [33,34], MPEG4 [35], and an autonomous vehicle application (AutoV) [36]. Table 5.1 summarizes the experimental protocol adopted in our experiments. )…”

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confidence: 99%