用于索引数据结构的Optane DC持久存储器的能耗评估

Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos, Verena Kantere, F. Catthoor, D. Soudris
{"title":"用于索引数据结构的Optane DC持久存储器的能耗评估","authors":"Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos, Verena Kantere, F. Catthoor, D. Soudris","doi":"10.1109/HiPC56025.2022.00022","DOIUrl":null,"url":null,"abstract":"The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte, low standby power and larger capacities than DRAM, with comparable latency. This work provides an in-depth evaluation of the energy consumption of the Optane DCPM, using well-established indexes specifically designed to address the challenges and constraints of the persistent memories. We study the energy efficiency of the Optane DCPM for several indexing data structures and for the LevelDB key-value store, under different types of YCSB workloads. By integrating an Optane DCPM in a memory system, the energy drops by 71.2% and the throughput increases by 37.3% for the LevelDB experiments, compared to a typical SSD storage solution.","PeriodicalId":119363,"journal":{"name":"2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures\",\"authors\":\"Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos, Verena Kantere, F. Catthoor, D. Soudris\",\"doi\":\"10.1109/HiPC56025.2022.00022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte, low standby power and larger capacities than DRAM, with comparable latency. This work provides an in-depth evaluation of the energy consumption of the Optane DCPM, using well-established indexes specifically designed to address the challenges and constraints of the persistent memories. We study the energy efficiency of the Optane DCPM for several indexing data structures and for the LevelDB key-value store, under different types of YCSB workloads. By integrating an Optane DCPM in a memory system, the energy drops by 71.2% and the throughput increases by 37.3% for the LevelDB experiments, compared to a typical SSD storage solution.\",\"PeriodicalId\":119363,\"journal\":{\"name\":\"2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HiPC56025.2022.00022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HiPC56025.2022.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

英特尔Optane DC Persistent Memory (DCPM)是为数据密集型HPC应用构建存储系统的一项有吸引力的新技术,因为它比DRAM提供更低的每字节成本、更低的待机功耗和更大的容量,并且具有相当的延迟。这项工作对Optane DCPM的能量消耗进行了深入的评估,使用了专门设计的完善的指数来解决持久记忆的挑战和限制。在不同类型的YCSB工作负载下,我们研究了几种索引数据结构和LevelDB键值存储的Optane DCPM的能源效率。通过在存储系统中集成Optane DCPM,与典型的SSD存储解决方案相比,LevelDB实验的能量降低了71.2%,吞吐量提高了37.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures
The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte, low standby power and larger capacities than DRAM, with comparable latency. This work provides an in-depth evaluation of the energy consumption of the Optane DCPM, using well-established indexes specifically designed to address the challenges and constraints of the persistent memories. We study the energy efficiency of the Optane DCPM for several indexing data structures and for the LevelDB key-value store, under different types of YCSB workloads. By integrating an Optane DCPM in a memory system, the energy drops by 71.2% and the throughput increases by 37.3% for the LevelDB experiments, compared to a typical SSD storage solution.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信