IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Special Section on Data Engineering and Information Management
An Experimental Study across GPU DBMSes toward Cost-Effective Analytical Processing
Young-Kyoon SUHSeounghyeon KIMJoo-Young LEEHawon CHUJunyoung ANKyong-Ha LEE
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2021 Volume E104.D Issue 5 Pages 551-555

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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.

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© 2021 The Institute of Electronics, Information and Communication Engineers
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