DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory

Wenkai Liang; Hao Hu; Xiangyu Zou; Wen Xia; Yanqi Pan

doi:10.1109/DAC56929.2023.10247971

DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory

Wenkai Liang
, Hao Hu
, Xiangyu Zou
, Wen Xia^*
, Yanqi Pan

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Persistent transactional memory (PTM) exploits transactions to provide an easy crash-consistent interface for persistent memory (PM). However, because of the substantial reader-side overhead brought on by the low bandwidth and long persistence latency of PM, present PTM research cannot scale effectively. This paper proposes a highly scalable PTM system, DRPTM, which allows nearly non-overhead reads without lowering the isolation level. DRPTM decouples persistence latency from concurrency control and traces the read-only copy maintained in logs as a lightweight read set. The evaluation shows that DRPTM significantly outperforms the state-of-the-art PTM systems for various workloads and achieves near-linear scalability.

Original language	English
Title of host publication	2023 60th ACM/IEEE Design Automation Conference, DAC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350323481
DOIs	https://doi.org/10.1109/DAC56929.2023.10247971
State	Published - 2023
Externally published	Yes
Event	60th ACM/IEEE Design Automation Conference, DAC 2023 - San Francisco, United States Duration: 9 Jul 2023 → 13 Jul 2023

Publication series

Name	Proceedings - Design Automation Conference
Volume	2023-July
ISSN (Print)	0738-100X

Conference

Conference	60th ACM/IEEE Design Automation Conference, DAC 2023
Country/Territory	United States
City	San Francisco
Period	9/07/23 → 13/07/23

Access to Document

10.1109/DAC56929.2023.10247971

Cite this

@inproceedings{e2548b79849a4b76b4ce746785290e5d,

title = "DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory",

abstract = "Persistent transactional memory (PTM) exploits transactions to provide an easy crash-consistent interface for persistent memory (PM). However, because of the substantial reader-side overhead brought on by the low bandwidth and long persistence latency of PM, present PTM research cannot scale effectively. This paper proposes a highly scalable PTM system, DRPTM, which allows nearly non-overhead reads without lowering the isolation level. DRPTM decouples persistence latency from concurrency control and traces the read-only copy maintained in logs as a lightweight read set. The evaluation shows that DRPTM significantly outperforms the state-of-the-art PTM systems for various workloads and achieves near-linear scalability.",

author = "Wenkai Liang and Hao Hu and Xiangyu Zou and Wen Xia and Yanqi Pan",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 60th ACM/IEEE Design Automation Conference, DAC 2023 ; Conference date: 09-07-2023 Through 13-07-2023",

year = "2023",

doi = "10.1109/DAC56929.2023.10247971",

language = "英语",

series = "Proceedings - Design Automation Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 60th ACM/IEEE Design Automation Conference, DAC 2023",

address = "美国",

}

Liang, W, Hu, H, Zou, X , Xia, W & Pan, Y 2023, DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory. in 2023 60th ACM/IEEE Design Automation Conference, DAC 2023. Proceedings - Design Automation Conference, vol. 2023-July, Institute of Electrical and Electronics Engineers Inc., 60th ACM/IEEE Design Automation Conference, DAC 2023, San Francisco, United States, 9/07/23. https://doi.org/10.1109/DAC56929.2023.10247971

DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory. / Liang, Wenkai; Hu, Hao; Zou, Xiangyu et al.
2023 60th ACM/IEEE Design Automation Conference, DAC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - Design Automation Conference; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - DRPTM

T2 - 60th ACM/IEEE Design Automation Conference, DAC 2023

AU - Liang, Wenkai

AU - Hu, Hao

AU - Zou, Xiangyu

AU - Xia, Wen

AU - Pan, Yanqi

PY - 2023

Y1 - 2023

N2 - Persistent transactional memory (PTM) exploits transactions to provide an easy crash-consistent interface for persistent memory (PM). However, because of the substantial reader-side overhead brought on by the low bandwidth and long persistence latency of PM, present PTM research cannot scale effectively. This paper proposes a highly scalable PTM system, DRPTM, which allows nearly non-overhead reads without lowering the isolation level. DRPTM decouples persistence latency from concurrency control and traces the read-only copy maintained in logs as a lightweight read set. The evaluation shows that DRPTM significantly outperforms the state-of-the-art PTM systems for various workloads and achieves near-linear scalability.

AB - Persistent transactional memory (PTM) exploits transactions to provide an easy crash-consistent interface for persistent memory (PM). However, because of the substantial reader-side overhead brought on by the low bandwidth and long persistence latency of PM, present PTM research cannot scale effectively. This paper proposes a highly scalable PTM system, DRPTM, which allows nearly non-overhead reads without lowering the isolation level. DRPTM decouples persistence latency from concurrency control and traces the read-only copy maintained in logs as a lightweight read set. The evaluation shows that DRPTM significantly outperforms the state-of-the-art PTM systems for various workloads and achieves near-linear scalability.

UR - https://www.scopus.com/pages/publications/85173115476

U2 - 10.1109/DAC56929.2023.10247971

DO - 10.1109/DAC56929.2023.10247971

M3 - 会议稿件

AN - SCOPUS:85173115476

T3 - Proceedings - Design Automation Conference

BT - 2023 60th ACM/IEEE Design Automation Conference, DAC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 9 July 2023 through 13 July 2023

ER -

DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this