PAC:基于偏好感知的异构NUMA架构协同位置调度以提高资源利用率

Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo
{"title":"PAC:基于偏好感知的异构NUMA架构协同位置调度以提高资源利用率","authors":"Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo","doi":"10.1145/3577193.3593709","DOIUrl":null,"url":null,"abstract":"Latency-critical applications directly interact with end users and often experience the diurnal load pattern. In production, best-effort applications are often co-located with them to utilize the idle cores at the low load. Meanwhile, modern computers are evolving towards heterogeneous NUMA architecture, where the cores have different computation abilities, memory access latencies and network communication delays. Prior co-location scheduling work did not consider the NUMA architecture, and failed to maximize the throughput of best-effort applications while ensuring the required QoS of latency-critical applications. Our investigation shows that NUMA effect has complex impacts on the latency of latency-critical applications and the throughput of best-effort applications. We therefore propose PAC, a preference-aware co-location scheduling scheme that considers the NUMA effect for heterogeneous NUMA architectures. PAC has a performance monitor and a core scheduler. Specifically, the performance monitor identifies the \"dangerous\" latency-critical applications that require upgrading core allocations. We propose two low-overhead scheduling strategies for the scheduler. The strategies identify the bottlenecks of applications and adjust core allocations accordingly. Experimental result shows that PAC improves the throughput of best-effort applications by 3.87× while ensuring the required QoS of latency-critical applications.","PeriodicalId":424155,"journal":{"name":"Proceedings of the 37th International Conference on Supercomputing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization\",\"authors\":\"Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo\",\"doi\":\"10.1145/3577193.3593709\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Latency-critical applications directly interact with end users and often experience the diurnal load pattern. In production, best-effort applications are often co-located with them to utilize the idle cores at the low load. Meanwhile, modern computers are evolving towards heterogeneous NUMA architecture, where the cores have different computation abilities, memory access latencies and network communication delays. Prior co-location scheduling work did not consider the NUMA architecture, and failed to maximize the throughput of best-effort applications while ensuring the required QoS of latency-critical applications. Our investigation shows that NUMA effect has complex impacts on the latency of latency-critical applications and the throughput of best-effort applications. We therefore propose PAC, a preference-aware co-location scheduling scheme that considers the NUMA effect for heterogeneous NUMA architectures. PAC has a performance monitor and a core scheduler. Specifically, the performance monitor identifies the \\\"dangerous\\\" latency-critical applications that require upgrading core allocations. We propose two low-overhead scheduling strategies for the scheduler. The strategies identify the bottlenecks of applications and adjust core allocations accordingly. Experimental result shows that PAC improves the throughput of best-effort applications by 3.87× while ensuring the required QoS of latency-critical applications.\",\"PeriodicalId\":424155,\"journal\":{\"name\":\"Proceedings of the 37th International Conference on Supercomputing\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 37th International Conference on Supercomputing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3577193.3593709\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 37th International Conference on Supercomputing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3577193.3593709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

延迟关键型应用程序直接与最终用户交互,并且经常经历日负载模式。在生产中,尽最大努力的应用程序通常与它们共存,以便在低负载时利用空闲内核。同时,现代计算机正在向异构NUMA架构发展,核心具有不同的计算能力、内存访问延迟和网络通信延迟。先前的协同位置调度工作没有考虑NUMA体系结构,无法在确保延迟关键型应用程序所需的QoS的同时,最大限度地提高应用程序的吞吐量。我们的研究表明,NUMA效应对延迟关键型应用程序的延迟和尽力而为应用程序的吞吐量有复杂的影响。因此,我们提出了PAC,一种考虑异构NUMA架构的NUMA效应的偏好感知协同调度方案。PAC有一个性能监视器和一个核心调度程序。具体来说,性能监视器会识别需要升级核心分配的“危险”延迟关键型应用程序。我们为调度程序提出了两种低开销的调度策略。这些策略确定应用程序的瓶颈,并相应地调整核心分配。实验结果表明,PAC在保证延迟关键型应用所需的QoS的同时,将最努力应用的吞吐量提高了3.87倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization
Latency-critical applications directly interact with end users and often experience the diurnal load pattern. In production, best-effort applications are often co-located with them to utilize the idle cores at the low load. Meanwhile, modern computers are evolving towards heterogeneous NUMA architecture, where the cores have different computation abilities, memory access latencies and network communication delays. Prior co-location scheduling work did not consider the NUMA architecture, and failed to maximize the throughput of best-effort applications while ensuring the required QoS of latency-critical applications. Our investigation shows that NUMA effect has complex impacts on the latency of latency-critical applications and the throughput of best-effort applications. We therefore propose PAC, a preference-aware co-location scheduling scheme that considers the NUMA effect for heterogeneous NUMA architectures. PAC has a performance monitor and a core scheduler. Specifically, the performance monitor identifies the "dangerous" latency-critical applications that require upgrading core allocations. We propose two low-overhead scheduling strategies for the scheduler. The strategies identify the bottlenecks of applications and adjust core allocations accordingly. Experimental result shows that PAC improves the throughput of best-effort applications by 3.87× while ensuring the required QoS of latency-critical applications.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing Using Additive Modifications in LU Factorization Instead of Pivoting GRAP: Group-level Resource Allocation Policy for Reconfigurable Dragonfly Network in HPC Enabling Reconfigurable HPC through MPI-based Inter-FPGA Communication
×
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