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 -