Thread scheduling for cache locality

Author:

Philbin James1,Edler Jan1,Anshus Otto J.2,Douglas Craig C.3,Li Kai4

Affiliation:

1. NEC Research Institute, 4 Independence Way, Princeton, NJ

2. Department of Computer Science, Institute of Mathematical and Physical Sciences, University of Tromso, N-9037 Tromso, Norway

3. IBM T.J. Watson Research Center, P.O. Box 218, Yorktown Heights, NY and Department of Computer Science, Yale University, P.O. Box 208285, New Haven, CT

4. Department of Computer Science, Princeton University, Princeton, NJ

Abstract

This paper describes a method to improve the cache locality of sequential programs by scheduling fine-grained threads. The algorithm relies upon hints provided at the time of thread creation to determine a thread execution order likely to reduce cache misses. This technique may be particularly valuable when compiler-directed tiling is not feasible. Experiments with several application programs, on two systems with different cache structures, show that our thread scheduling method can improve program performance by reducing second-level cache misses.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. NUDA: Non-Uniform Directory Architecture for Scalable Chip Multiprocessors;IEEE Transactions on Computers;2018-05-01

2. Cache locality optimization for recursive programs;Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation;2017-06-14

3. Locality-Aware CTA Clustering for Modern GPUs;ACM SIGPLAN Notices;2017-05-12

4. Locality-Aware CTA Clustering for Modern GPUs;Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems;2017-04-04

5. Auto-tuning for large-scale image processing by dynamic analysis method on multicore platforms;International Journal of Embedded Systems;2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3