Huang et al., 2023 - Google Patents
Random Forests over normalized data in CPU-GPU DBMSesHuang et al., 2023
- Document ID
- 1496299684724370735
- Author
- Huang Z
- Damalapati P
- Sen R
- Wu E
- Publication year
- Publication venue
- Proceedings of the 19th International Workshop on Data Management on New Hardware
External Links
Snippet
This short paper studies query execution based on message passing on CPU-GPU systems, using random forests training as the workload. We investigate different data placement and query execution strategies and find that the unique properties of training ML models using …
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30477—Query execution
- G06F17/30483—Query execution of query operations
- G06F17/30486—Unary operations; data partitioning operations
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30442—Query optimisation
- G06F17/30445—Query optimisation for parallel queries
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- G—PHYSICS
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- G06F17/30389—Query formulation
- G06F17/30404—Query languages
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- G06F9/00—Arrangements for programme control, e.g. control unit
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