计算机工程与应用2018，Vol.54Issue(2)：62-67,227,7.DOI:10.3778/j.issn.1002-8331.1608-0464
基于强化学习方法的访存调度算法
摘要
Abstract
In modern processors,memory controller is the manager and executant of the access to off-chip memories.The scheduling algorithm used by memory controller has a great influence on the performance of access to off-chip memory. For the situation that current scheduling algorithm can't adapt to the change of workload, it proposes ALHS algorithm based on reinforcement learning method in this paper.ALHS optimizes its scheduling policy by adjusting the upper limit of page hits in FR-FCFS scheduling. The experiment on multi-workload shows that ALHS improves access speed by 10.98% compared to FR-FCFS and obtains performance improvement close to the optimistic policy.It shows that ALHS can explore the experiment environment and optimizes itself.关键词
存储控制器/访存调度算法/自适应性/强化学习Key words
memory controller/memory scheduling algorithm/adaptive/reinforcement learning分类
信息技术与安全科学引用本文复制引用
邱东黎,施晶晶..基于强化学习方法的访存调度算法[J].计算机工程与应用,2018,54(2):62-67,227,7.基金项目
国家高技术研究发展计划(863)(No.2015AA01A301). （863）
