https://scholars.lib.ntu.edu.tw/handle/123456789/581467
標題: | Accelerating data filtering for database using FPGA | 作者: | Sun X Xue C.J Yu J Liu X. TEI-WEI KUO |
關鍵字: | Cloud; DBMS; Filtering; FPGA; Hardware acceleration | 公開日期: | 2021 | 卷: | 114 | 來源出版物: | Journal of Systems Architecture | 摘要: | In the big data era, in order to relieve computational pressure on overloaded CPU caused by ever increasing amount of data, many researches focus on hardware acceleration using FPGA for data-intensive applications. In this paper, a novel FPGA-based storage engine is proposed for DBMS in the cloud with focus on data filtering operation. A hardware data filter is designed which can significantly speedup filtering operations by utilizing parallelism provided by FPGA. Meanwhile, it can support different queries without partial reconfiguration. This FPGA-based storage engine is integrated with DBMS to realize end-to-end acceleration. In addition, an intelligent filtering on/off switch is designed to adaptively decide whether the FPGA-based filter should be employed, based on selectivity estimation. Experimental results show that the proposed solution realizes on average 2.80x computation speedup for data filtering compared with the software baseline, and achieves up to 1.95x improvement in end-to-end evaluation compared with conventional storage engine in low-selectivity cases. Moreover, the FPGA-based solution achieves 2.87x improvement on energy efficiency compared with the similar GPU-based acceleration solution. ? 2020 Elsevier B.V. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094604755&doi=10.1016%2fj.sysarc.2020.101908&partnerID=40&md5=0b49353b0ebd2be5e41d1eb7d7d0861c https://scholars.lib.ntu.edu.tw/handle/123456789/581467 |
ISSN: | 13837621 | DOI: | 10.1016/j.sysarc.2020.101908 | SDG/關鍵字: | Database systems; Energy efficiency; Engines; Virtual storage; Data filtering; Data-intensive application; Filtering operations; Hardware acceleration; On/off switch; Partial reconfiguration; Selectivity estimation; Storage engines; Field programmable gate arrays (FPGA) |
顯示於: | 資訊工程學系 |
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