Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading
Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading
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DOI：
10.1109/rtas48715.2020.00-17
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发表时间：
2020-04
期刊：
影响因子：
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通讯作者：
Jinghao Sun;Jing Li;Zhishan Guo;An Zou;Xuan Zhang;Kunal Agrawal;Sanjoy Baruah
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文献类型：
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作者：
Jinghao Sun;Jing Li;Zhishan Guo;An Zou;Xuan Zhang;Kunal Agrawal;Sanjoy Baruah
在具有（串行）数据卸载和（并行）计算的异构平台上实现信息物理系统时，会出现并行调度问题。在本文中，我们适应技术从调度理论建模，分析和推导调度算法的实时工作负载在这样的平台上。我们所提出的算法的性能特征，无论是分析通过近似比度量和实验通过模拟实验上的合成工作负载，通过案例研究的CPU-GPU平台上的合理。评估暴露了一些分歧之间的分析表征和实验的建议，寻求平衡这种不同的表征算法方法的选择。
Challenging scheduling problems arise in the implementation of cyber-physical systems upon heterogeneous platforms with (serial) data offloading and (parallel) computation. In this paper, we adapt techniques from scheduling theory to model, analyze, and derive scheduling algorithms for real-time workloads on such platforms. We characterize the performance of the proposed algorithms, both analytically via the approximation ratio metric and experimentally through simulation experiments upon synthetic workloads that are justified via a case study on a CPU-GPU platform. The evaluation exposes some divergence between the analytical characterization and experimental one; recommendations that seek to balance such divergent characterizations are made regarding the choice of algorithmic approaches.