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结合指令预取和缓存划分的多核缓存WCEC优化

安立奎 韩丽艳

计算机工程与应用2020,Vol.56Issue(1):69-75,7.
计算机工程与应用2020,Vol.56Issue(1):69-75,7.DOI:10.3778/j.issn.1002-8331.1901-0038

结合指令预取和缓存划分的多核缓存WCEC优化

Instruction Prefetching and Cache Partitioning for Multicore Cache WCEC Optimization

安立奎 1韩丽艳2

作者信息

  • 1. 渤海大学 数理学院,辽宁 锦州 121013
  • 2. 渤海大学 信息科学与技术学院,辽宁 锦州 121013
  • 折叠

摘要

Abstract

For the hard real-time multicore system that its energy supply is limited, the cache WCEC(Worst-Case Energy Consumption)is a very critical problem. With the development of chip technology, sequential instructions prefetching can reduce the cache WCEC. In order to improve the worst case energy saving efficiency of instruction prefetching, the cache WCEC optimization method combined with the instruction prefetching and shared cache partitioning is proposed. The method assigns L2 cache partitioning factor for each core and adjusts instruction prefetching degree for each subtask by ILP(Integer-Linear Programing), to minimize the cache WCEC of hard real-time multicore system when guarantees the system meets the time deadline. The DEBIE system is analyzed in the experiments, and the results show that optimization method is effective,the optimized cache WCEC is decreased by 22.5% on an average than that of without instruction prefetching optimization when guarantees DEBIE system meet its time deadline.

关键词

硬实时多核系统/最差情况下的能量消耗(WCEC)/指令预取/缓存划分

Key words

hard real-time multicore system/Worst-Case Energy Consumption(WCEC)/instruction prefetching/cache partitioning

分类

信息技术与安全科学

引用本文复制引用

安立奎,韩丽艳..结合指令预取和缓存划分的多核缓存WCEC优化[J].计算机工程与应用,2020,56(1):69-75,7.

基金项目

辽宁省教育厅项目(No.20160701). (No.20160701)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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