Task behaviour inputs to a heterogeneous multiprocessor scheduler

Aniruddha Banerjee, Sharan Kumar Allur, Syam Prasad Kuncha
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引用次数: 1

Abstract

A novel and intuitive way of scheduling entities on a heterogeneous multiprocessing system is presented. The key idea is to understand the behavioral characteristics (foreground/background, IO-bound/CPU-bound) of a scheduling entity to predict the need for its processing bandwidth. This is then used by the scheduler to influence the selection of the big cluster (high-performance) or the LITTLE cluster (power-saving) for optimal performance and power gains. The experimental results confirm that this method leverages the characteristics of a heterogeneous architecture to achieve the desired benefits.
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任务行为输入到异构多处理器调度器
提出了一种新的、直观的异构多处理系统实体调度方法。关键思想是理解调度实体的行为特征(前台/后台、io绑定/ cpu绑定),以预测对其处理带宽的需求。然后调度器使用它来影响大集群(高性能)或小集群(节能)的选择,以获得最佳性能和功率增益。实验结果表明,该方法充分利用了异构体系结构的特点,达到了预期的效果。
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