摘要
针对数据高速缓存短时间内频繁访问连续区段的特征,该文提出了一种基于热点硬件自搜索和历史访问轨迹的数据高速缓存低功耗方法.该方法通过动态搜索热点片段,缓存目标热点行在高速缓存中的位置信息,过滤标签存储器和冗余数据存储器的访问.运行EEMBC测试基准的实验结果表明,与基于MRU(Most Recently Used)的路预测方法相比,该方法 Cache的动态功耗可降低30.77%,性能提升26.21%.
On account of the characteristics that the data cache will be frequently accessed in a short period of time,this paper proposes a lowpower data cache access methods based on hotspot initiative search and historical access trace. The method will automatically judge hot process,dynamically buffer the target hotspot location information to filter tag and redundant data memory access. Running EEMBC benchmark results showthat compared with MRU prediction method( Most Recently Used) this approach can reduce 30. 77% dynamic access power,and get 26. 21% performance improvement.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2016年第1期110-114,共5页
Acta Electronica Sinica
关键词
低功耗
过滤访问
热点行搜索
lowpower
filter access
hotspot initiative search