DOE: Database Offloading Engine for Accelerating SQL Processing

被引：3
|
作者：
Lu, Wenyan [1 ]
Chen, Yan [2 ]
Wu, Jingya [1 ,3 ]
Zhang, Yu [2 ]
Li, Xiaowei [1 ]
Yan, Guihai [1 ]
机构：
[1] Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing, Peoples R China
[2] YUSUR Technol Co Ltd, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
来源：
2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOPS (ICDEW 2022) | 2022年
基金：
中国国家自然科学基金;
关键词：
DOE; DP2; Database; Heterogeneous system;
D O I：
10.1109/ICDEW55742.2022.00026
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The CPU-Accelerator heterogeneous systems have demonstrated performance and efficiency benefits on DBMSs. However, it is non-trivial to customize efficient domain-specific accelerators. Even if high-performance accelerators are available for DBMS, it is challenge to integrate the software with accelerator non-intrusively. To address these problems, we proposed a hardware-software co-designed system, DOE, which contains hardware accelerator architecture - Conflux for effective SQL operation offloading, and a software programming platform - DP2 for application integration non-intrusively. The experiment results show that DOE achieves more than 100x and 10x performance improvement compared with PostgreSQL and MonetDB respectively.
引用
收藏
页码：129 / 134
页数：6
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