通过非工作节约调度改善优先级执行

J. C. Saez, J. I. Gómez, M. Prieto
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引用次数: 7

摘要

当前的操作系统调度器并不完全了解多核和多线程体系结构,因此,调度线程的方式可能会导致对关键资源(如缓存内存层次结构中的最后一层或内存访问带宽)的争用。这种争用会对系统生产力和每个线程从平台获得的服务质量产生重大影响,这可能会因其同步的协同运行者的行为而有很大差异。在本文中,我们描述了一个非工作节约框架的设计和实现,该框架基于通过硬件性能计数器收集的在线统计数据来调度线程,试图提高优先级的执行。我们已经在多核和SMT处理器上运行的Linux中实现了我们的方案。对于基于最新SPEC CPU2006基准测试的合成工作负载,我们的框架将高优先级线程的速度提高了50%,同时保持甚至略微提高了整体系统吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Priority Enforcement via Non-Work-Conserving Scheduling
Current operating system schedulers are not fully aware of multi-core and multi-threaded architectures, and as a result, schedule threads in a way that may cause contention for critical resources such as the last level in the cache memory hierarchy or the memory access bandwidth. This contention has a significant impact on the system productivity and the quality of service that each individual thread gets from the platform, which can widely vary depending on the behavior of its simultaneous co-runners.In this paper we describe the design and implementation of a non-work-conserving framework to schedule threads that tries to improve priority enforcement, based on on-line statistics collected through hardware performance counters. We have implemented our scheme in Linux running on both multicore and SMT processors. For synthetic workloads based on the latest SPEC CPU2006 benchmarks, our framework speeds up high-priority threads by up to 50%, while keeping or even slightly improving the overall system throughput.
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