A Post-link Prefetching Based on Event Sampling

摘要：

　　Data prefetching is an effective approach to improve performance by hiding long memory latency.Existing profiling feedback optimizations can do well in pointer-based linked data structure prefetching.However,these optimizations,which instrument and optimize source code during compiling or post link,usually incur tremendous overhead at profiling stage.Furthermore,it is a mission impossible for these methods to do optimization without source code.This work designs and implements an Event Sampling based Prefetching Optimizer,which is a post-link prefetching based on hardware performance counters event sampling.Evaluation on SW26010 processor shows that with the proposed prefetching approach,9 out of 29 programs of SPEC2006 can be speeded up by about 4.3%on average with only less than 10%sampling overhead on average.

关键词： Data prefetching Stride profiling Sampling Post-link optimization

作者: Hongmei Wei Fei Wang Zhongsheng Li

作者单位: School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 2 Jiangnan Institute of Computing Technology,Wuxi 214083,China

会议类型: 国际会议

会议名称: the 12th Conference on Advanced Computer Architecture?(ACA 2018)(2018年全国计算机体系结构学术年会)

会议地点: 辽宁营口

会议语种:英文

页码: 53-65

在线出版日期: 2018-08-10（万方平台首次上网日期，不代表论文的发表时间）