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Accelerating database systems using FPGAs: A survey
| File | Description | Size | Format | |
|---|---|---|---|---|
 fpl18survey.pdf | Accepted version | 112.97 kB | Adobe PDF | View/Open |
| Title: | Accelerating database systems using FPGAs: A survey |
| Authors: | Papaphilippou, P Luk, W |
| Item 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. |
| Issue Date: | 6-Dec-2018 |
| Date of Acceptance: | 21-May-2018 |
| URI: | http://hdl.handle.net/10044/1/62189 |
| DOI: | 10.1109/FPL.2018.00030 |
| 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/Funder: | Dunnhumby Limited Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (E Commission of the European Communities |
| Funder's Grant Number: | PO: 250130008264 EP/I012036/1 516075101 (EP/N031768/1) 671653 |
| Conference Name: | The International Conference on Field-Programmable Logic and Applications (FPL), 2018 |
| Keywords: | 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 |
| Conference Place: | Trinity College Dublin, Ireland |
| Online Publication Date: | 2018-12-06 |
| Appears in Collections: | Computing Faculty of Engineering |