{"title":"Studying Victim Caches in GPUs","authors":"E. Taylor, D. W. Chang","doi":"10.1109/PDP2018.2018.00069","DOIUrl":null,"url":null,"abstract":"Today Graphics Processing Units (GPUs) are being used for more than traditional graphics processing. Large super computers such as Titan are utilizing GPUs to solve problems that have little resemblance to their original purpose. To improve the performance of these applications, GPU architects are increasing cache sizes to lower latencies of non-uniform memory references found in these programs. In this paper, we investigate an alternative approach where a victim buffer is added to the first level cache. Our studies show that a 256-line victim cache can increase L1 hit rate by 15% and improve IPC by 7.5% over the baseline. This victim cache outperforms increasing the cache size by 400% while being a less costly solution in terms of area.","PeriodicalId":333367,"journal":{"name":"2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDP2018.2018.00069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Today Graphics Processing Units (GPUs) are being used for more than traditional graphics processing. Large super computers such as Titan are utilizing GPUs to solve problems that have little resemblance to their original purpose. To improve the performance of these applications, GPU architects are increasing cache sizes to lower latencies of non-uniform memory references found in these programs. In this paper, we investigate an alternative approach where a victim buffer is added to the first level cache. Our studies show that a 256-line victim cache can increase L1 hit rate by 15% and improve IPC by 7.5% over the baseline. This victim cache outperforms increasing the cache size by 400% while being a less costly solution in terms of area.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
研究gpu中的受害者缓存
如今,图形处理单元(gpu)的应用已经超越了传统的图形处理。像泰坦这样的大型超级计算机正在利用gpu来解决与其最初目的几乎没有相似之处的问题。为了提高这些应用程序的性能,GPU架构师正在增加缓存大小,以降低这些程序中发现的非统一内存引用的延迟。在本文中,我们研究了一种将受害者缓冲区添加到第一级缓存的替代方法。我们的研究表明,256行受害者缓存可以将L1命中率提高15%,并将IPC提高7.5%。这个受害者缓存的性能比增加缓存大小400%要好,同时在面积方面是一个成本更低的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
TMbarrier: Speculative Barriers Using Hardware Transactional Memory Evaluating the Effect of Multi-Tenancy Patterns in Containerized Cloud-Hosted Content Management System A Generic Learning Multi-agent-System Approach for Spatio-Temporal-, Thermal- and Energy-Aware Scheduling Developing and Using a Geometric Multigrid, Unstructured Grid Mini-Application to Assess Many-Core Architectures Extending PluTo for Multiple Devices by Integrating OpenACC
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1