Title
Data management on new processors: A survey.
Abstract
•This paper reviews challenges and opportunities of hardware design for data processing.•This paper highlights several approaches on each operators of the query processing, including projections, selections, GROUP BY aggregations and joins.•This paper suggests some future work on this area.
Year
DOI
Venue
2018
10.1016/j.parco.2017.12.002
Parallel Computing
Keywords
Field
DocType
Query processing,Off-loading,FPGA,Co-processor
SQL,Data processing,Computer architecture,Joins,Computer science,Parallel computing,Field-programmable gate array,Software,Data management,Energy consumption,High energy
Journal
Volume
ISSN
Citations 
72
0167-8191
0
PageRank 
References 
Authors
0.34
51
6
Name
Order
Citations
PageRank
Hongzhi Wang142173.72
Feng Xiong200.34
Jianing Li3106.97
Shengfei Shi48215.87
Jianzhong Li56324.23
Hong Gao61086120.07