Broneske, DavidDrewes, AnnaGurumurthy, BalaHajjar, ImadPionteck, ThiloSaake, Gunter2022-01-272022-01-2720212021http://dx.doi.org/10.1007/s13222-021-00384-whttps://dl.gi.de/handle/20.500.12116/38027Classical database systems are now facing the challenge of processing high-volume data feeds at unprecedented rates as efficiently as possible while also minimizing power consumption. Since CPU-only machines hit their limits, co-processors like GPUs and FPGAs are investigated by database system designers for their distinct capabilities. As a result, database systems over heterogeneous processing architectures are on the rise. In order to better understand their potentials and limitations, in-depth performance analyses are vital. This paper provides interesting performance data by benchmarking a portable operator set for column-based systems on CPU, GPU, and FPGA – all available processing devices within the same system. We consider TPC‑H query Q6 and additionally a hash join to profile the execution across the systems. We show that system memory access and/or buffer management remains the main bottleneck for device integration, and that architecture-specific execution engines and operators offer significantly higher performance.CPUFPGAGPUHeterogeneous database systemsOverlay architectureText/Journal Article10.1007/s13222-021-00384-w1610-1995