Empirical evaluation across multiple GPU-accelerated DBMSes

Abstract

In this paper we conduct an empirical study across modern GPU-accelerated DBMSes with TPC-H workloads. Our rigorous experiments demonstrate that the studied DBMSes appear to utilize GPU resource effectively but do not scale well with growing databases nor have full capability to process some complex analytical queries. Thus, we claim that the GPU DBMSes still need to be further engineered to achieve a better analytical performance.