research-article

Evaluating persistent memory range indexes: part two

Authors:

Tianzheng WangAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 15, Issue 11

Pages 2477 - 2490

https://doi.org/10.14778/3551793.3551808

Published: 01 July 2022 Publication History

Abstract

Scalable persistent memory (PM) has opened up new opportunities for building indexes that operate and persist data directly on the memory bus, potentially enabling instant recovery, low latency and high throughput. When real PM hardware (Intel Optane Persistent Memory) first became available, previous work evaluated PM indexes proposed in the pre-Optane era. Since then, newer indexes based on real PM have appeared, but it is unclear how they compare to each other and to previous proposals, and what further challenges remain.

This paper addresses these issues by analyzing and experimentally evaluating state-of-the-art PM range indexes built for real PM. We find that newer designs inherited past techniques with new improvements, but do not necessarily outperform pre-Optane era proposals. Moreover, PM indexes are often very competitive with or even outperform indexes tailored for DRAM, highlighting the potential of using a unified design for both PM and DRAM. Functionality-wise, these indexes still lack good support for variable-length keys and handling NUMA effect. Based on our findings, we distill new design principles and highlight future directions.

References

[1]

AgigaTech. 2022. AGIGARAM NVDIMM-N. Retrieved May 15, 2022 from http://agigatech.com/products/agigaram-nvdimms/.

[2]

Joy Arulraj, Justin J. Levandoski, Umar Farooq Minhas, and Per-Åke Larson. 2018. BzTree: A High-Performance Latch-free Range Index for Non-Volatile Memory. PVLDB 11, 5 (2018), 553--565.

[3]

Joy Arulraj, Andrew Pavlo, and Subramanya R. Dulloor. 2015. Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems. In Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data (SIGMOD '15). 707--722.

[4]

Lawrence Benson, Hendrik Makait, and Tilmann Rabl. 2021. Viper: An Efficient Hybrid PMem-DRAM Key-Value Store. Proc. VLDB Endow. 14, 9 (may 2021), 1544--1556.

Digital Library

[5]

Kumud Bhandari, Dhruva R. Chakrabarti, and Hans-J. Boehm. 2016. Makalu: Fast Recoverable Allocation of Non-Volatile Memory. In Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications. 677--694.

Digital Library

[6]

Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, and Viktor Leis. 2018. HOT: A Height Optimized Trie Index for Main-Memory Database Systems. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). 521--534.

Digital Library

[7]

Wentao Cai, Haosen Wen, H. Alan Beadle, Chris Kjellqvist, Mohammad Hedayati, and Michael L. Scott. 2020. Understanding and Optimizing Persistent Memory Allocation. In Proceedings of the 2020 ACM SIGPLAN International Symposium on Memory Management (ISMM 2020). 60--73.

Digital Library

[8]

Zixian Cai, Stephen M. Blackburn, and Michael D. Bond. 2021. Understanding and Utilizing Hardware Transactional Memory Capacity. In Proceedings of the 2021 ACM SIGPLAN International Symposium on Memory Management (ISMM 2021). 1--14.

Digital Library

[9]

Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-Fai Wong, Guoan Wu, Yuping Zhao, and Andy Rudoff. 2021. Optimizing In-Memory Database Engine for AI-Powered on-Line Decision Augmentation Using Persistent Memory. PVLDB 14, 5 (2021), 799--812.

Digital Library

[10]

Leying Chen and Shimin Chen. 2021. How Does Updatable Learned Index Perform on Non-Volatile Main Memory?. In 2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW). 66--71.

[11]

Shimin Chen, Phillip B. Gibbons, and Suman Nath. 2011. Rethinking Database Algorithms for Phase Change Memory. In 5th Biennial Conference on Innovative Data Systems Research, CIDR 2011, Asilomar, CA, USA, January 9--12, 2011, Online Proceedings.

[12]

Shimin Chen and Qin Jin. 2015. Persistent B+-Trees in Non-Volatile Main Memory. PVLDB 8, 7 (2015), 786--797.

Digital Library

[13]

Youmin Chen, Youyou Lu, Kedong Fang, Qing Wang, and Jiwu Shu. 2020. uTree: a Persistent B+-Tree with Low Tail Latency. PVLDB 13, 11 (2020), 2634--2648.

Digital Library

[14]

Zhangyu Chen, Yu Hua, Bo Ding, and Pengfei Zuo. 2020. Lock-free Concurrent Level Hashing for Persistent Memory. In 2020 USENIX Annual Technical Conference (USENIX ATC 20). 799--812.

[15]

Jeremy Condit, Edmund B. Nightingale, Christopher Frost, Engin Ipek, Benjamin Lee, Doug Burger, and Derrick Coetzee. 2009. Better I/O through Byte-Addressable, Persistent Memory. In Proceedings of the ACM SIGOPS 22nd Symposium on Operating Systems Principles (SOSP '09). 133--146.

Digital Library

[16]

Intel Corporation. 2021. Intel Optane Persistent Memory (PMem). https://www.intel.ca/content/www/ca/en/architecture-and-technology/optane-dc-persistent-memory.html

[17]

Rob Crooke and Mark Durcan. 2015. A Revolutionary Breakthrough in Memory Technology. 3D XPoint Launch Keynote (2015).

[18]

Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet, and Tim Kraska. 2020. ALEX: An Updatable Adaptive Learned Index. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (SIGMOD '20). 969--984.

Digital Library

[19]

Jason Evans. 2006. A Scalable Concurrent malloc (3) Implementation for FreeBSD. In Proceedings of the BSDCan Conference.

[20]

Keir Fraser. 2004. Practical lock-freedom. Technical Report UCAM-CL-TR-579. University of Cambridge, Computer Laboratory. https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-579.pdf

[21]

Jim Gray, Prakash Sundaresan, Susanne Englert, Ken Baclawski, and Peter J. Weinberger. 1994. Quickly Generating Billion-Record Synthetic Databases. In Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data (SIGMOD '94). 243--252.

[22]

Shashank Gugnani, Arjun Kashyap, and Xiaoyi Lu. 2020. Understanding the Idiosyncrasies of Real Persistent Memory. PVLDB 14, 4 (2020), 626--639.

Digital Library

[23]

Timothy L. Harris. 2001. A Pragmatic Implementation of Non-Blocking Linked-Lists. In Proceedings of the 15th International Conference on Distributed Computing (DISC '01). Springer-Verlag, Berlin, Heidelberg, 300--314.

Digital Library

[24]

M. Hosomi, H. Yamagishi, T. Yamamoto, K. Bessho, Y. Higo, K. Yamane, H. Yamada, M. Shoji, H. Hachino, C. Fukumoto, H. Nagao, and H. Kano. 2005. A novel nonvolatile memory with spin torque transfer magnetization switching: spin-ram. IEEE International Electron Devices Meeting (IEDM) (2005), 459--462.

[25]

Daokun Hu, Zhiwen Chen, Jianbing Wu, Jianhua Sun, and Hao Chen. 2021. Persistent Memory Hash Indexes: An Experimental Evaluation. PVLDB 14 (2021), 785--798.

Digital Library

[26]

Kaisong Huang, Darien Imai, Tianzheng Wang, and Dong Xie. 2022. SSDs Striking Back: The Storage Jungle and Its Implications on Persistent Indexes. In 12th Annual Conference on Innovative Data Systems Research, CIDR 2022, Chaminade, CA, USA, January 9--12, 2022, Online Proceedings.

[27]

Deukyeon Hwang, Wook-Hee Kim, Youjip Won, and Beomseok Nam. 2018. Endurable transient inconsistency in byte-addressable persistent B+-tree. In 16th USENIX Conference on File and Storage Technologies (FAST 18). 187--200.

[28]

Intel. 2021. Brief: Intel® Optane^™ Persistent Memory - The Challenge of Keeping Up with Data. https://www.intel.ca/content/www/ca/en/products/docs/memory-storage/optane-persistent-memory/optane-dc-persistent-memory-brief.html

[29]

Intel. 2021. Persistent Memory Development Kit. (2021). http://pmem.io/pmdk/.

[30]

Intel Corporation. 2021. Intel 64 and IA-32 Architectures Software Developer's Manual. (2021). https://software.intel.com/content/www/us/en/develop/articles/intel-sdm.html

[31]

Intel Corporation. 2021. Optane DCPMM 200 Series Product Brief. Retrieved August 17, 2021 from https://www.intel.com/content/dam/www/public/us/en/documents/product-briefs/optane-persistent-memory-200-series-brief.pdf.

[32]

Keita Iwabuchi, Karim Youssef, Kaushik Velusamy, Maya Gokhale, and Roger Pearce. 2022. Metall: A persistent memory allocator for data-centric analytics. Parallel Comput. 111 (2022).

[33]

Joseph Izraelevitz, Jian Yang, Lu Zhang, Juno Kim, Xiao Liu, Amirsaman Memaripour, Yun Joon Soh, Zixuan Wang, Yi Xu, Subramanya R. Dulloor, Jishen Zhao, and Steven Swanson. 2019. Basic Performance Measurements of the Intel Optane DC Persistent Memory Module. arXiv:1903.05714 [cs.DC]

[34]

Wook-Hee Kim, R. Madhava Krishnan, Xinwei Fu, Sanidhya Kashyap, and Changwoo Min. 2021. PACTree: A High Performance Persistent Range Index Using PAC Guidelines. In Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles. 424--439.

Digital Library

[35]

Dimitrios Koutsoukos, Raghav Bhartia, Ana Klimovic, and Gustavo Alonso. 2021. How to use Persistent Memory in your Database. CoRR abs/2112.00425 (2021). arXiv:2112.00425 https://arxiv.org/abs/2112.00425

[36]

Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, and Neoklis Polyzotis. 2018. The Case for Learned Index Structures. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). 489--504.

Digital Library

[37]

R. Madhava Krishnan, Wook-Hee Kim, Xinwei Fu, Sumit Kumar Monga, Hee Won Lee, Minsung Jang, Ajit Mathew, and Changwoo Min. 2021. TIPS: Making Volatile Index Structures Persistent with DRAM-NVMM Tiering. In 2021 USENIX Annual Technical Conference (USENIX ATC 21). 773--787.

[38]

Laboratory for Web Algorithms. 2022. UK Domain from 2005. http://data.law.di.unimi.it/webdata/uk-2005/uk-2005.urls.gz

[39]

Benjamin C. Lee, Engin Ipek, Onur Mutlu, and Doug Burger. 2009. Architecting Phase Change Memory as a Scalable Dram Alternative. In Proceedings of the 36th Annual International Symposium on Computer Architecture (ISCA '09). 2--13.

Digital Library

[40]

Se Kwon Lee, K. Hyun Lim, Hyunsub Song, Beomseok Nam, and Sam H. Noh. 2017. WORT: Write Optimal Radix Tree for Persistent Memory Storage Systems. In 15th USENIX Conference on File and Storage Technologies (FAST 17). 257--270.

[41]

Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, and Vijay Chidambaram. 2019. RECIPE: Converting Concurrent DRAM Indexes to Persistent-Memory Indexes. In Proceedings of the 27th ACM Symposium on Operating Systems Principles (SOSP '19). 462--477.

Digital Library

[42]

Viktor Leis, Alfons Kemper, and Thomas Neumann. 2013. The Adaptive Radix Tree: ARTful Indexing for Main-Memory Databases. In Proceedings of the 2013 IEEE International Conference on Data Engineering (ICDE '13). 38--49.

Digital Library

[43]

Viktor Leis, Florian Scheibner, Alfons Kemper, and Thomas Neumann. 2016. The ART of Practical Synchronization. In Proceedings of the 12th International Workshop on Data Management on New Hardware (DaMoN '16). Article 3, 8 pages.

Digital Library

[44]

Lucas Lersch, Xiangpeng Hao, Ismail Oukid, Tianzheng Wang, and Thomas Willhalm. 2019. Evaluating Persistent Memory Range Indexes. PVLDB 13, 4 (2019), 574--587.

Digital Library

[45]

Gang Liu, Leying Chen, and Shimin Chen. 2021. Zen: A High-Throughput Log-Free OLTP Engine for Non-Volatile Main Memory. PVLDB 14, 5 (2021), 835--848.

Digital Library

[46]

Jihang Liu, Shimin Chen, and Lujun Wang. 2020. LB+ Trees: Optimizing Persistent Index Performance on 3DXPoint Memory. PVLDB 13, 7 (2020), 1078--1090.

Digital Library

[47]

Baotong Lu, Jialin Ding, Eric Lo, Umar Farooq Minhas, and Tianzheng Wang. 2021. APEX: A High-Performance Learned Index on Persistent Memory. PVLDB 15, 3 (2021), 597--610.

Digital Library

[48]

Baotong Lu, Xiangpeng Hao, Tianzheng Wang, and Eric Lo. 2020. Dash: Scalable Hashing on Persistent Memory. PVLDB 13, 8 (2020), 1147--1161.

Digital Library

[49]

Shaonan Ma, Kang Chen, Shimin Chen, Mengxing Liu, Jianglang Zhu, Hongbo Kang, and Yongwei Wu. 2021. ROART: Range-query Optimized Persistent ART. In 19th USENIX Conference on File and Storage Technologies (FAST 21). 1--16.

[50]

Yandong Mao, Eddie Kohler, and Robert Tappan Morris. 2012. Cache craftiness for fast multicore key-value storage. In Proceedings of the 7th ACM european conference on Computer Systems. 183--196.

Digital Library

[51]

Chris Mellor. 2019. Is Optane DIMM endurance good enough? Quick answer... Yes, Intel has delivered. https://blocksandfiles.com/2019/04/04/enduring-optane-dimm-question-is-its-endurance-good-enough-yes-intel-has-delivered/

[52]

Colin Morris. 2017. Reddit Usernames. https://www.kaggle.com/datasets/colinmorris/reddit-usernames

[53]

Moohyeon Nam, Hokeun Cha, Young ri Choi, Sam H. Noh, and Beomseok Nam. 2019. Write-Optimized Dynamic Hashing for Persistent Memory. In 17th USENIX Conference on File and Storage Technologies (FAST 19). 31--44.

[54]

Carlos O'Donell. 2021. The GNU C Library version 2.34 is now available - [28033] libc: Need to check RTM_ALWAYS_ABORT for RTM. https://sourceware.org/pipermail/libc-alpha/2021-August/129718.html.

[55]

Ismail Oukid, Daniel Booss, Wolfgang Lehner, Peter Bumbulis, and Thomas Willhalm. 2014. SOFORT: A Hybrid SCM-DRAM Storage Engine for Fast Data Recovery. In Proceedings of the Tenth International Workshop on Data Management on New Hardware (DaMoN '14). Article 8, 7 pages.

Digital Library

[56]

Ismail Oukid, Johan Lasperas, Anisoara Nica, Thomas Willhalm, and Wolfgang Lehner. 2016. FPTree: A Hybrid SCM-DRAM Persistent and Concurrent B-Tree for Storage Class Memory. In Proceedings of the 2016 International Conference on Management of Data, SIGMOD. 371--386.

Digital Library

[57]

Jinsu Park and Woongki Baek. 2018. Quantifying the Performance and Energy-Efficiency Impact of Hardware Transactional Memory on Scientific Applications on Large-Scale NUMA Systems. In 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS). 804--813.

[58]

Steven Pelley, Thomas F. Wenisch, Brian T. Gold, and Bill Bridge. 2013. Storage Management in the NVRAM Era. PVLDB 7, 2 (2013), 121--132.

Digital Library

[59]

Raghu Ramakrishnan and Johannes Gehrke. 2003. Database Management Systems (3 ed.).

[60]

David Schwalb, Tim Berning, Martin Faust, Markus Dreseler, and Hasso Plattner. 2015. nvm malloc: Memory Allocation for NVRAM. In ADMS@VLDB. 61--72.

[61]

Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, and Tim Kraska. 2021. Bounding the Last Mile: Efficient Learned String Indexing (Extended Abstracts). In 3rd International Workshop on Applied AI for Database Systems and Applications, AIDB Workshops.

[62]

D. B. Strukov, G. S. Snider, D. R. Stewart, and R. S. Williams. 2008. The missing memristor found. Nature 453, 7191 (2008), 80--83.

[63]

Alexander van Renen, Viktor Leis, Alfons Kemper, Thomas Neumann, Takushi Hashida, Kazuichi Oe, Yoshiyasu Doi, Lilian Harada, and Mitsuru Sato. 2018. Managing Non-Volatile Memory in Database Systems. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). 1541--1555.

Digital Library

[64]

Shivaram Venkataraman, Niraj Tolia, Parthasarathy Ranganathan, and Roy H. Campbell. 2011. Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory. In Proceedings of the 9th USENIX Conference on File and Stroage Technologies (FAST'11).

[65]

Viking Technology. 2017. DDR4 NVDIMM. Retrieved August 17, 2021 from http://www.vikingtechnology.com.

[66]

Qing Wang, Youyou Lu, Junru Li, and Jiwu Shu. 2021. Nap: A Black-Box Approach to NUMA-Aware Persistent Memory Indexes. In 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21). 93--111.

[67]

Tianzheng Wang and Ryan Johnson. 2014. Scalable Logging through Emerging Non-Volatile Memory. PVLDB 7, 10 (2014), 865--876.

Digital Library

[68]

Tianzheng Wang, Justin Levandoski, and Per-Åke Larson. 2018. Easy Lock-Free Indexing in Non-Volatile Memory. In 2018 IEEE 34th International Conference on Data Engineering (ICDE). 461--472.

[69]

Wikimedia Dump Service. 2022. Wikipedia Dump 20220420. https://dumps.wikimedia.org/enwiki/20220420/enwiki-20220420-all-titles.gz

[70]

H. S P Wong, S. Raoux, SangBum Kim, Jiale Liang, John P. Reifenberg, B. Rajendran, Mehdi Asheghi, and Kenneth E. Goodson. 2010. Phase Change Memory. Proc. IEEE 98, 12 (2010), 2201--2227.

[71]

Fei Xia, Dejun Jiang, Jin Xiong, and Ninghui Sun. 2017. HiKV: A Hybrid Index Key-value Store for DRAM-NVM Memory Systems. In Proceedings of the 2017 USENIX Annual Technical Conference (USENIX ATC '17). 349--362.

[72]

Jian Yang, Juno Kim, Morteza Hoseinzadeh, Joseph Izraelevitz, and Steven Swanson. 2020. An Empirical Guide to the Behavior and Use of Scalable Persistent Memory. In Proceedings of the 18th USENIX Conference on File and Storage Technologies (FAST'20). 169--182.

Digital Library

[73]

Jun Yang, Qingsong Wei, Cheng Chen, Chundong Wang, Khai Leong Yong, and Bingsheng He. 2015. NV-Tree: reducing consistency cost for NVM-based single level systems. In 13th USENIX Conference on File and Storage Technologies (FAST 15). 167--181.

Digital Library

[74]

Lu Zhang and Steven Swanson. 2019. Pangolin: A Fault-Tolerant Persistent Memory Programming Library. In 2019 USENIX Annual Technical Conference (USENIX ATC 19). 897--912.

[75]

Ping Zhou, Bo Zhao, Jun Yang, and Youtao Zhang. 2009. A Durable and Energy Efficient Main Memory Using Phase Change Memory Technology. In Proceedings of the 36th Annual International Symposium on Computer Architecture (ISCA '09). 14--23.

Digital Library

[76]

Xinjing Zhou, Joy Arulraj, Andrew Pavlo, and David Cohen. 2021. Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory. In Proceedings of the 2021 International Conference on Management of Data (SIGMOD/PODS '21). 2195--2207.

Digital Library

[77]

Xinjing Zhou, Lidan Shou, Ke Chen, Wei Hu, and Gang Chen. 2019. DPTree: Differential Indexing for Persistent Memory. PVLDB 13, 4 (2019), 421--434.

Digital Library

[78]

Pengfei Zuo, Yu Hua, and Jie Wu. 2018. Write-Optimized and High-Performance Hashing Index Scheme for Persistent Memory. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18). 461--476.

Cited By

Lu ZCao QJiang HChen YYao JPan A(2024)FluidKV: Seamlessly Bridging the Gap between Indexing Performance and Memory-Footprint on Ultra-Fast StorageProceedings of the VLDB Endowment10.14778/3648160.364817717:6(1377-1390)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.14778/3648160.3648177
Chen ZHu DChe WSun JChen H(2024)A quantitative evaluation of persistent memory hash indexesThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-023-00812-133:2(375-397)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s00778-023-00812-1
Huang WJi YZhou XHe BTan K(2023)A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class MemoryProceedings of the VLDB Endowment10.14778/3583140.358314416:6(1249-1263)Online publication date: 1-Feb-2023
https://dl.acm.org/doi/10.14778/3583140.3583144
Show More Cited By

Recommendations

Evaluating persistent memory range indexes

Persistent memory (PM) is fundamentally changing the way database index structures are built by enabling persistence, high performance, and (near) instant recovery all on the memory bus. Prior work has proposed many techniques to tailor index structure ...
A survey on Persistent Memory indexes: Recent advances, challenges and opportunities
Abstract
The Non-volatile Memory (NVM) technology belongs to a novel class of storage devices that offer byte-addressability like DRAM and durability as in persistent storage. The NVM is known as Storage Class Memory (SCM), Non-volatile RAM (NVRAM), or ...
A Case for Virtualizing Persistent Memory
SoCC '16: Proceedings of the Seventh ACM Symposium on Cloud Computing

With the proliferation of software and hardware support for persistent memory (PM) like PCM and NV-DIMM, we envision that PM will soon become a standard component of commodity cloud, especially for those applications demanding high performance and low ...

Comments

Information & Contributors

Information

Published In

cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 15, Issue 11

July 2022

980 pages

ISSN:2150-8097

Editors:
Fatma Özcan
Google
,
Juliana Freire
New York University
,
Xuemin Lin
University of New South Wales

Issue’s Table of Contents

Publisher

VLDB Endowment

Publication History

Published: 01 July 2022

Published in PVLDB Volume 15, Issue 11

Badges

Artifacts Available / v1.1

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
81
Total Downloads

Downloads (Last 12 months)23
Downloads (Last 6 weeks)3

Reflects downloads up to 26 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Lu ZCao QJiang HChen YYao JPan A(2024)FluidKV: Seamlessly Bridging the Gap between Indexing Performance and Memory-Footprint on Ultra-Fast StorageProceedings of the VLDB Endowment10.14778/3648160.364817717:6(1377-1390)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.14778/3648160.3648177
Chen ZHu DChe WSun JChen H(2024)A quantitative evaluation of persistent memory hash indexesThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-023-00812-133:2(375-397)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s00778-023-00812-1
Huang WJi YZhou XHe BTan K(2023)A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class MemoryProceedings of the VLDB Endowment10.14778/3583140.358314416:6(1249-1263)Online publication date: 1-Feb-2023
https://dl.acm.org/doi/10.14778/3583140.3583144
Chen ZChe WHu DHe XSun JChen H(2023)On the Performance Intricacies of Persistent Memory Aware Storage EnginesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.324864335:10(10365-10382)Online publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1109/TKDE.2023.3248643

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Issue’s Table of Contents