2016-09-05
Overtaking CPU DBMSes with a GPU in whole-query analytic processing with parallelism-friendly execution plan optimization
Publication
Publication
Presented at the
International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures (September 2016), New Delhi, India
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
| Additional Metadata | |
|---|---|
| Intel, GE Global Rsearch | |
| 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 | |
| Organisation | Database Architectures |
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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 |
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