高密度共享内存HPC节点能耗量化研究

Milos Puzovic, Srilatha Manne, Shay GalOn, M. Ono
{"title":"高密度共享内存HPC节点能耗量化研究","authors":"Milos Puzovic, Srilatha Manne, Shay GalOn, M. Ono","doi":"10.1109/E2SC.2016.7","DOIUrl":null,"url":null,"abstract":"In this paper we introduce a novel, dense, system-on-chip many-core Lenovo NeXtScale System® server based on the Cavium THUNDERX® ARMv8 processor that was designed for performance, energy efficiency and programmability. THUNDERX processor was designed to scale up to 96 cores in a cache coherent, shared memory architecture. Furthermore, this hardware system has a power interface board (PIB) that measures with high accuracy power draw across the server board in the NeXtScale™ chassis. We use data obtainable from PIB to measure the energy use of PARSEC and Splash-2 benchmarks and demonstrate how to use available hardware counters from THUNDERX processor in order to quantify the amount of energy that is used by different aspects of shared memory programming, such as cache coherent communication. We show that energy used required to keep caches coherent is negligible and demonstrate that shared memory programming paradigm is viable candidate for future energy aware HPC designs.","PeriodicalId":424743,"journal":{"name":"2016 4th International Workshop on Energy Efficient Supercomputing (E2SC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Quantifying Energy Use in Dense Shared Memory HPC Node\",\"authors\":\"Milos Puzovic, Srilatha Manne, Shay GalOn, M. Ono\",\"doi\":\"10.1109/E2SC.2016.7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we introduce a novel, dense, system-on-chip many-core Lenovo NeXtScale System® server based on the Cavium THUNDERX® ARMv8 processor that was designed for performance, energy efficiency and programmability. THUNDERX processor was designed to scale up to 96 cores in a cache coherent, shared memory architecture. Furthermore, this hardware system has a power interface board (PIB) that measures with high accuracy power draw across the server board in the NeXtScale™ chassis. We use data obtainable from PIB to measure the energy use of PARSEC and Splash-2 benchmarks and demonstrate how to use available hardware counters from THUNDERX processor in order to quantify the amount of energy that is used by different aspects of shared memory programming, such as cache coherent communication. We show that energy used required to keep caches coherent is negligible and demonstrate that shared memory programming paradigm is viable candidate for future energy aware HPC designs.\",\"PeriodicalId\":424743,\"journal\":{\"name\":\"2016 4th International Workshop on Energy Efficient Supercomputing (E2SC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 4th International Workshop on Energy Efficient Supercomputing (E2SC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/E2SC.2016.7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th International Workshop on Energy Efficient Supercomputing (E2SC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/E2SC.2016.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

在本文中,我们介绍了一种新颖的,密集的,系统级片上多核联想NeXtScale系统®服务器,该服务器基于Cavium THUNDERX®ARMv8处理器,专为性能,能效和可编程性而设计。THUNDERX处理器被设计为在缓存一致的共享内存架构中扩展到96核。此外,该硬件系统具有电源接口板(PIB),可在NeXtScale™机箱中测量整个服务器板的高精度功耗。我们使用从PIB获得的数据来测量PARSEC和Splash-2基准测试的能耗,并演示如何使用来自THUNDERX处理器的可用硬件计数器来量化共享内存编程的不同方面(如缓存相干通信)所使用的能耗。我们表明,保持缓存一致性所需的能量可以忽略不计,并证明共享内存编程范式是未来节能高性能计算设计的可行候选。
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
Quantifying Energy Use in Dense Shared Memory HPC Node
In this paper we introduce a novel, dense, system-on-chip many-core Lenovo NeXtScale System® server based on the Cavium THUNDERX® ARMv8 processor that was designed for performance, energy efficiency and programmability. THUNDERX processor was designed to scale up to 96 cores in a cache coherent, shared memory architecture. Furthermore, this hardware system has a power interface board (PIB) that measures with high accuracy power draw across the server board in the NeXtScale™ chassis. We use data obtainable from PIB to measure the energy use of PARSEC and Splash-2 benchmarks and demonstrate how to use available hardware counters from THUNDERX processor in order to quantify the amount of energy that is used by different aspects of shared memory programming, such as cache coherent communication. We show that energy used required to keep caches coherent is negligible and demonstrate that shared memory programming paradigm is viable candidate for future energy aware HPC designs.
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
Preliminary Investigation of Mobile System Features Potentially Relevant to HPC Neural Network-Based Task Scheduling with Preemptive Fan Control Characterizing Power and Performance of GPU Memory Access Power-Constrained Performance Scheduling of Data Parallel Tasks A Unified Platform for Exploring Power Management Strategies
×
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