Existing work on accelerating analytic DB query processing with (discrete) GPUs fails to fully realize their potential for speedup through parallelism: Published results do not achieve significant speedup over more performant CPU-only DBMSes when processing complete queries. This paper presents a successful e

Intel, GE Global Rsearch
dx.doi.org/10.1007/978-3-319-56111-0_4
Lecture Notes in Computer Science
International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures
Database Architectures

Agbaria, A, Minor, D, Peterfreund, N, Rozenberg, E, Rosenberg, O, & Huawei Research. (2016). Overtaking CPU DBMSes with a GPU in whole-query analytic processing with parallelism-friendly execution plan optimization. In Proceedings of the International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (pp. 57–78). doi:10.1007/978-3-319-56111-0_4