IEICE TRANSACTIONS on Information
An Experimental Study across GPU DBMSes toward Cost-Effective Analytical Processing
Summary :
In this letter we analyze the economic worth of GPU on analytical processing of GPU-accelerated database management systems (DBMSes). To this end, we conducted rigorous experiments with TPC-H across three popular GPU DBMSes. Consequently, we show that co-processing with CPU and GPU in the GPU DBMSes was cost-effective despite exposed concerns.
- Publication
- IEICE TRANSACTIONS on Information Vol.E104-D No.5 pp.551-555
- Publication Date
- 2021/05/01
- Publicized
- 2020/11/06
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2020DAL0001
- Type of Manuscript
- Special Section LETTER (Special Section on Data Engineering and Information Management)
- Category
Authors
Young-Kyoon SUH
Kyungpook National University
Seounghyeon KIM
Kyungpook National University
Joo-Young LEE
Kyungpook National University
Hawon CHU
Kyungpook National University
Junyoung AN
Kyungpook National University
Kyong-Ha LEE
Korea Institute of Science and Technology Information (KISTI)
Keyword
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Young-Kyoon SUH, Seounghyeon KIM, Joo-Young LEE, Hawon CHU, Junyoung AN, Kyong-Ha LEE, "An Experimental Study across GPU DBMSes toward Cost-Effective Analytical Processing" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 5, pp. 551-555, May 2021, doi: 10.1587/transinf.2020DAL0001.
Abstract: In this letter we analyze the economic worth of GPU on analytical processing of GPU-accelerated database management systems (DBMSes). To this end, we conducted rigorous experiments with TPC-H across three popular GPU DBMSes. Consequently, we show that co-processing with CPU and GPU in the GPU DBMSes was cost-effective despite exposed concerns.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020DAL0001/_p
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@ARTICLE{e104-d_5_551,
author={Young-Kyoon SUH, Seounghyeon KIM, Joo-Young LEE, Hawon CHU, Junyoung AN, Kyong-Ha LEE, },
journal={IEICE TRANSACTIONS on Information},
title={An Experimental Study across GPU DBMSes toward Cost-Effective Analytical Processing},
year={2021},
volume={E104-D},
number={5},
pages={551-555},
abstract={In this letter we analyze the economic worth of GPU on analytical processing of GPU-accelerated database management systems (DBMSes). To this end, we conducted rigorous experiments with TPC-H across three popular GPU DBMSes. Consequently, we show that co-processing with CPU and GPU in the GPU DBMSes was cost-effective despite exposed concerns.},
keywords={},
doi={10.1587/transinf.2020DAL0001},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - An Experimental Study across GPU DBMSes toward Cost-Effective Analytical Processing
T2 - IEICE TRANSACTIONS on Information
SP - 551
EP - 555
AU - Young-Kyoon SUH
AU - Seounghyeon KIM
AU - Joo-Young LEE
AU - Hawon CHU
AU - Junyoung AN
AU - Kyong-Ha LEE
PY - 2021
DO - 10.1587/transinf.2020DAL0001
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2021
AB - In this letter we analyze the economic worth of GPU on analytical processing of GPU-accelerated database management systems (DBMSes). To this end, we conducted rigorous experiments with TPC-H across three popular GPU DBMSes. Consequently, we show that co-processing with CPU and GPU in the GPU DBMSes was cost-effective despite exposed concerns.
ER -
English
