Improving the Concurrency Performance of Persistent Memory Transactions on Multicores

被引：0
作者：
Wang, Qing [1 ]
Lu, Youyou [1 ]
Wu, Zhongjie [2 ]
Yang, Fan [1 ]
Shu, Jiwu [1 ]
机构：
[1] Tsinghua Univ, Beijing, Peoples R China
[2] Alibaba Grp Holding Ltd, Hangzhou, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE 2020 57TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC) | 2020年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Persistent memory provides data persistence to in-memory transaction systems, enabling full ACID properties. However, high data persistence worsens the concurrency performance due to delayed execution of conflicted transactions on multicores. In this paper, we propose SP3 (SPeculative Parallel Persistence) to improve the concurrency performance of persistent memory transactions. SP3 keeps the dependencies between different transactions in a DAG (direct acyclic graph) by detecting conflicts in the read/write sets, and speculatively executes conflicted transactions without waiting for the completeness of data persistence. Evaluation shows that SP3 significantly improves concurrency performance and achieves almost linear scalability in most evaluated workloads.
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页数：6
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