2018
DOI: 10.1109/mdat.2017.2783326
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Safe and Efficient Deployment of Data-Parallelizable Applications on Many-Core Platforms: Theory and Practice

Abstract: The safe and, at the same time, efficient deployment of parallelisable applications on many-core platforms is a challenging task. Theoretical Models of Computation (MoC) require the realistic estimation of task Worst-Case Execution Time (WCET) to provide safe latency guarantees. Due to interferences on shared resources, task WCET estimations are often exceedingly pessimistic. In reality, though, rarely do all the tasks execute with their WCET, thus introducing an efficiency gap, which is of consequence in real… Show more

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Cited by 3 publications
(6 citation statements)
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“…From the obtained results, we observed a significant performance gain compared with the global synchronisation mechanism [9] as the number of cores increases. When a single application is parallelized and executed on several cores, the observed gain is on average 1.64%, using only two cores, up to 37.32%, when eight cores are used.…”
Section: Contributionsmentioning
confidence: 80%
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“…From the obtained results, we observed a significant performance gain compared with the global synchronisation mechanism [9] as the number of cores increases. When a single application is parallelized and executed on several cores, the observed gain is on average 1.64%, using only two cores, up to 37.32%, when eight cores are used.…”
Section: Contributionsmentioning
confidence: 80%
“…The impact is illustrated in Figure 2b, where the unnecessary blocking (rectangle wait) is eliminated and the control phases are overlapping. The proposed isRA-FG improves over isRA-GLO [9] both in terms of i) the WCET of the controller and ii) run-time performance. • RTA-based formal proof that execution of time-triggered schedules with isRA-FG does not introduce additional interference and is free of timing anomalies.…”
Section: Contributionsmentioning
confidence: 92%
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