TY - JOUR AU - Markl, Volker AB - Due to their high computational power and internal memory bandwidth, graphic processing units (GPUs) have been extensively studied by the database systems research community. A heterogeneous query processing system that employs CPUs and GPUs at the same time has to solve many challenges, including how to distribute the workload on processors with different capabilities; how to overcome the data transfer bottleneck; and how to support implementations for multiple processors efficiently. In this survey we devise a classification scheme to categorize techniques developed to address these challenges. Based on this scheme, we categorize query processing systems on heterogeneous CPU/GPU systems and identify open research problems. TI - Query Processing on Heterogeneous CPU/GPU Systems JF - ACM Computing Surveys (CSUR) DO - 10.1145/3485126 DA - 2022-01-17 UR - https://www.deepdyve.com/lp/association-for-computing-machinery/query-processing-on-heterogeneous-cpu-gpu-systems-T78f98ZRl1 SP - 1 EP - 38 VL - 55 IS - 1 DP - DeepDyve ER -