Task Migration for Dynamic Power and Performance Characteristics on Many-Core Distributed Operating Systems

Simon Holmbacka, Wictor Lund, S. Lafond, J. Lilius
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引用次数: 17

Abstract

Spatial locality of task execution will become more important on future hardware platforms since the number of cores are steadily increasing. The large amount of cores requires more intelligent power management due to the notion of spatial locality, and the high chip density requires an increased thermal awareness in order to avoid thermal hotspots on the chip. At the same time, high performance of the CPU is only achieved by parallelizing tasks over the chip in order to fully utilize the hardware. This paper presents a task migration mechanism for distributed operating systems running on many-core platforms. In this work, we evaluate the performance and energy efficiency of an implemented task migration mechanism. This is shown by parallelizing tasks as the performance of a single core is not sufficient, and by collecting tasks to as few cores as possible as CPU load is low. The task migration mechanism is implemented as a library for FreeRTOS using 1300 lines of code, and introduced a total task migration overhead of 100 ms on a shared memory platform. With the presented task migration mechanism, we intend to improve the dynamism of power and performance characteristics in distributed many-core operating systems.
多核分布式操作系统动态功耗与性能特性的任务迁移
在未来的硬件平台上,任务执行的空间局部性将变得更加重要,因为内核的数量正在稳步增加。由于空间局部性的概念,大量的内核需要更智能的电源管理,而高芯片密度需要增加热意识,以避免芯片上的热热点。同时,为了充分利用硬件,CPU的高性能只能通过在芯片上并行处理任务来实现。提出了一种多核平台分布式操作系统的任务迁移机制。在这项工作中,我们评估了一个实现的任务迁移机制的性能和能源效率。这可以通过在单个内核的性能不够时并行化任务,以及在CPU负载较低时将任务收集到尽可能少的内核来体现。任务迁移机制是作为FreeRTOS的一个库实现的,使用了1300行代码,并在共享内存平台上引入了100毫秒的总任务迁移开销。通过所提出的任务迁移机制,我们打算提高分布式多核操作系统的动力和性能特征的动态性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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