Accelerating database systems using FPGAs: A survey
File(s)
fpl18survey.pdf (112.97 KB)
Accepted version
Author(s)
Papaphilippou, P
Luk, Wayne
Type
Conference Paper
Abstract
Database systems are key to a variety of applications, and FPGA-based accelerators have shown promise in supporting high-performance database systems. This survey presents a systematic review of research relating to accelerating analytical database systems using FPGAs. The review includes studies of database acceleration frameworks and accelerator implementations for various database operators. Finally, the survey includes some promising future technologies and discussion on the challenges to be addressed by the future research in this area.
Date Issued
2018-12-06
Date Acceptance
2018-05-21
Citation
2018
URI
URL
DOI
Publisher
IEEE
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Dunnhumby Limited
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Commission of the European Communities
Identifier
https://ieeexplore.ieee.org/document/8533481
Grant Number
PO: 250130008264
EP/I012036/1
516075101 (EP/N031768/1)
671653
Source
The International Conference on Field-Programmable Logic and Applications (FPL), 2018
Subjects
Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Software Engineering
Computer Science
FPGA
Databases
Acceleration
Operators
Computer architecture
Analytics
Publication Status
Published
Start Date
2018-08-27
Coverage Spatial
Trinity College Dublin, Ireland
Date Publish Online
2018-12-06