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Young-Kyoon SUH †a) , Member, Seounghyeon KIM †b) , Joo-Young LEE †c) , Hawon CHU †d) , Junyoung AN †e) , and Kyong-Ha LEE † †f) , Nonmembers SUMMARYIn 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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