An Experimental Study across GPU DBMSes toward Cost-Effective Analytical Processing
Young‐Kyoon Suh, Seounghyeon Kim, Jooyoung Lee, Hawon Chu, Junyoung AN, Kyong-Ha Lee · IEICE Transactions on Information and Systems · 2021
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.