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Real-time application mapping for many-cores using a limited migrative model

机译:使用有限迁移模型对多核进行实时应用程序映射

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Many-core platforms are an emerging technology in the real-time embedded domain. These devices offer various options for power savings, cost reductions and contribute to the overall system flexibility, however, issues such as unpredictability, scalability and analysis pessimism are serious challenges to their integration into the aforementioned area. The focus of this work is on many-core platforms using a limited migrative model (( LMM )). ( LMM ) is an approach based on the fundamental concepts of the multi-kernel paradigm, which is a promising step towards scalable and predictable many-cores. In this work, we formulate the problem of real-time application mapping on a many-core platform using ( LMM ), and propose a three-stage method to solve it. An extended version of the existing analysis is used to assure that derived mappings (i) guarantee the fulfilment of timing constraints posed on worst-case communication delays of individual applications, and (ii) provide an environment to perform load balancing for e.g. energy/thermal management, fault tolerance and/or performance reasons.
机译:多核平台是实时嵌入式领域中的新兴技术。这些设备提供了多种选择以节省功率,降低成本并有助于提高整体系统的灵活性,但是,诸如不可预测性,可伸缩性和分析悲观性之类的问题对于将它们集成到上述领域中是严重的挑战。这项工作的重点是使用有限迁移模型((LMM))的许多核心平台。 (LMM)是一种基于多内核范例的基本概念的方法,这是朝着可扩展和可预测的多核迈进的有希望的一步。在这项工作中,我们使用(LMM)公式化了多核平台上的实时应用程序映射问题,并提出了一种三阶段方法来解决它。现有分析的扩展版本用于确保派生映射(i)保证满足对单个应用程序的最坏情况下的通信延迟造成的时序约束,并且(ii)提供执行负载平衡的环境,例如:能源/热管理,容错和/或性能原因。

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