Research on Compensation Policy Scheduling Algorithm for Multi-core Processors

Benhai Zhou, Jianzhong Qiao, Shukuan Lin, Enze Wang
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Abstract

With rapid development of processors, multi-core processors occupied the main market due to their superior performance and power characteristics. Threads run concurrently on a multi-core processor and share the processor’s the second-level (L2) cache. Cache allocation and sharing is critical to the effective utilization of multi-core processors.  Unfair CPU cache allocation can easily delay the critical task and cause serious problems, such as thread starvation, priority inversion, and inadequate CPU accounting. To solve these problems, this paper proposed a compensation policy scheduling algorithm which can decrease system variability and improve system performance effectively. The experiment results show that the system variability adopting compensation policy scheduling algorithm is lower than that using conventional scheduling algorithms. Consequently, compensation policy scheduling algorithm improves the stability of system and applications effectively on multi-core processors.
多核处理器补偿策略调度算法研究
随着处理器的快速发展,多核处理器以其优越的性能和功耗特性占据了主要市场。线程并发地在多核处理器上运行,并共享处理器的二级(L2)缓存。缓存分配和共享对于多核处理器的有效利用至关重要。不公平的CPU缓存分配很容易延迟关键任务并导致严重的问题,例如线程饥饿、优先级反转和CPU计数不足。针对这些问题,本文提出了一种补偿策略调度算法,可以有效地降低系统的可变性,提高系统性能。实验结果表明,采用补偿策略调度算法的系统可变性低于传统调度算法。因此,补偿策略调度算法在多核处理器上有效地提高了系统和应用的稳定性。
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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