A Comprehensive Empirical Study of Query Performance Across GPU DBMSes

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	52
Journal	Proceedings of the ACM on Measurement and Analysis of Computing Systems
Volume	50
DOIs	https://doi.org/10.1145/3489048.3522644
State	Published - 2022

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title = "A Comprehensive Empirical Study of Query Performance Across GPU DBMSes",

author = "Young-Kyoon Suh",

year = "2022",

doi = "10.1145/3489048.3522644",

language = "English",

volume = "50",

pages = "52",

journal = "Proceedings of the ACM on Measurement and Analysis of Computing Systems",

issn = "2476-1249",

publisher = "Association for Computing Machinery (ACM)",

}

TY - JOUR

T1 - A Comprehensive Empirical Study of Query Performance Across GPU DBMSes

AU - Suh, Young-Kyoon

PY - 2022

Y1 - 2022

U2 - 10.1145/3489048.3522644

DO - 10.1145/3489048.3522644

M3 - Article

SN - 2476-1249

VL - 50

SP - 52

JO - Proceedings of the ACM on Measurement and Analysis of Computing Systems

JF - Proceedings of the ACM on Measurement and Analysis of Computing Systems

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