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Evaluation of Memory Access Arbitration Algorithm on Tilera's TILEPro64 platform

机译:蒂利拉替贫群地区平台内存访问仲裁算法评估

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As real-time embedded systems demand more and more computing power under reasonable energy budgets, multi-core platforms are a viable option. However, deploying real-time applications on multi-core platforms introduce several predictability challenges. One of these challenges is bounding the latency of memory accesses issued by real-time tasks. This challenge is exacerbated as the number of cores and, hence, the degree of resource sharing increases. Over the last several years, researchers have proposed techniques to overcome this challenge. In prior work, we proposed an arbitration policy for memory access requests over a Network-on-Chip. In this paper, we implement and evaluate variants of our arbitration policy on a real hardware platform, namely Tilera's TilePro64 platform.
机译:随着实时嵌入式系统在合理的能源预算下需求越来越多的计算能力,多核平台是一种可行的选择。但是,在多核平台上部署实时应用程序引入了几种可预测性挑战。其中一个挑战是通过实时任务颁发的内存访问延迟的延迟。这种挑战加剧了作为核心的数量,因此,资源共享程度增加。在过去的几年里,研究人员提出了克服这一挑战的技术。在事先工作中,我们提出了一个仲裁策略,用于在片上内存访问请求。在本文中,我们在真正的硬件平台上实施和评估我们仲裁政策的变体,即Tilera的TilePro64平台。

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