中文版 | English
Title

GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive

Author
DOI
Publication Years
2022-06-10
ISSN
0730-8078
Source Title
Pages
2417-2420
Abstract
As a distributed, fault-tolerant data warehouse system for large-scale data analytics, Apache Hive has been used for various applications in many organizations (e.g., Facebook, Amazon, and Huawei). Exploiting the large degrees of parallelism of GPU to improve the performance of online analytical processing (OLAP) in database system is a common practice in the industry. Meanwhile, it is a common practice to exploit the large degrees of parallelism of GPU to improve the performance of online analytical processing (OLAP) in database systems. This demo presents GHive, which enables Apache Hive to accelerate OLAP queries by jointly utilizing CPU and GPU in intelligent and efficient ways. The takeaways for SIGMOD attendees include: (1) the superior performance of GHive compared with vanilla Hive that only uses CPU; (2) intuitive visualizations of execution statistics for Hive and GHive to understand where the acceleration of GHive comes from; (3) detailed profiling of the time taken by each operator on CPU and GPU to show the advantages of GPU execution.
Keywords
SUSTech Authorship
First
Language
English
URL[Source Record]
Indexed By
EI Accession Number
20222612274972
EI Keywords
Data Analytics ; Data warehouses ; Graphics processing unit ; Online systems
ESI Classification Code
Semiconductor Devices and Integrated Circuits:714.2 ; Computer Circuits:721.3 ; Digital Computers and Systems:722.4 ; Data Processing and Image Processing:723.2 ; Database Systems:723.3
Scopus EID
2-s2.0-85132712826
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/355916
DepartmentSouthern University of Science and Technology
Affiliation
1.Southern University of Science and Technology,Shenzhen,China
2.Hong Kong Polytechnic University,Hong Kong,Hong Kong
3.Aalborg University,Aalborg,Denmark
4.University of Massachusetts,Amherst,United States
5.Huawei Technologies Co.,Ltd.,Shenzhen,China
First Author AffilicationSouthern University of Science and Technology
First Author's First AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
Liu,Haotian,Tang,Bo,Zhang,Jiashu,et al. GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive[C],2022:2417-2420.
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