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Run-time spatial resource management for real-time applications on heterogeneous MPSoCs

机译:异构MPSoC上实时应用程序的运行时空间资源管理

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Design-time application mapping is limited to a predefined set of applications and a static platform. Resource management at run-time is required to handle future changes in the application set, and to provide some degree of fault tolerance, due to imperfect production processes and wear of materials. This paper concerns resource allocation at run-time, allowing multiple real-time applications to run simultaneously on a heterogeneous MPSoC. Low-complexity algorithms are required, in order to respond fast enough to unpredictable execution requests. We present a decomposition of this problem into four phases. The allocation of tasks to specific locations in the platform is the main contribution of this work. Experiments on a real platform show the feasibility of this approach, with execution times in tens of milliseconds for a single allocation attempt.
机译:设计时应用程序映射仅限于一组预定义的应用程序和一个静态平台。由于生产过程的不完善和材料的磨损,需要在运行时进行资源管理,以处理应用程序集中的将来更改,并提供一定程度的容错能力。本文涉及在运行时分配资源,从而允许多个实时应用程序在异构MPSoC上同时运行。需要低复杂度的算法,以便足够快地响应不可预测的执行请求。我们将这个问题分解为四个阶段。将任务分配到平台中的特定位置是这项工作的主要贡献。在真实平台上的实验证明了这种方法的可行性,一次分配尝试的执行时间为数十毫秒。

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