34 citations · 73 across the 16 of their papers we have counts for
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cs.DB2020
Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems (Extended Version)
Yu Xia, Xiangyao Yu, Andrew Pavlo +1
Existing single-stream logging schemes are unsuitable for in-memory database management systems (DBMSs) as the single log is often a performance bottleneck. To overcome this proble…
cs.DB2020
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics (Extended Version)
Anil Shanbhag, Samuel Madden, Xiangyao Yu
There has been significant amount of excitement and recent work on GPU-based database systems. Previous work has claimed that these systems can perform orders of magnitude better t…
cs.DB2020★ 4 cited
PushdownDB: Accelerating a DBMS using S3 Computation
Xiangyao Yu, Matt Youill, Matthew Woicik +4
This paper studies the effectiveness of pushing parts of DBMS analytics queries into the Simple Storage Service (S3) engine of Amazon Web Services (AWS), using a recently released…