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A Design-Time/Run-Time Application Mapping Methodology for Predictable Execution Time in MPSoCs

机译:用于MPSoC的可预测执行时间的设计时/运行时应用映射方法

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摘要

Executing multiple applications on a single MPSoC brings the major challengeof satisfying multiple quality requirements regarding real-time, energy, etc.Hybrid application mapping denotes the combination of design-time analysis withrun-time application mapping. In this article, we present such a methodology,which comprises a design space exploration coupled with a formal performanceanalysis. This results in several resource reservation configurations,optimized for multiple objectives, with verified real-time guarantees for eachindividual application. The Pareto-optimal configurations are handed over torun-time management which searches for a suitable mapping according to thisinformation. To provide any real-time guarantees, the performance analysisneeds to be composable and the influence of the applications on each other hasto be bounded. We achieve this either by spatial or a novel temporal isolationfor tasks and by exploiting composable NoCs. With the proposed temporalisolation, tasks of different applications can be mapped to the same resourcewhile with spatial isolation, one computing resource can be exclusively used byonly one application. The experiments reveal that the success rate in findingfeasible application mappings can be increased by the proposed temporalisolation by up to 30% and energy consumption can be reduced compared tospatial isolation.
机译:在单个MPSOC上执行多个应用程序带来了满足关于实时,能量的多种质量要求的主要挑战.hyBrid应用程序映射表示与时间应用映射的设计时间分析的组合。在本文中,我们提出了这种方法,该方法包括与正式性能分析​​相结合的设计空间探索。这导致多种资源预留配置,针对多个目标进行了优化,验证了每个另一种应用程序的实时保证。 Pareto-Optimal配置转换过托管时间管理,该管理是根据该信息搜索合适的映射。为了提供任何实时保证,可以是可组合的性能分析和应用程序对彼此的影响。我们通过空间或新的时间隔离来实现这一目标,并通过利用可协调的NOCs来实现。利用所提出的临时isolation,不同应用程序的任务可以映射到具有空间隔离的相同的资源,一个计算资源可以专门使用一个应用程序。实验表明,找到可行的应用映射中的成功率可以通过提出的临时分离增加30%,并且可以减少能量消耗比较的特性隔离。

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