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Yabuta et al., 2017 - Google Patents

Relational joins on gpus: A closer look

Yabuta et al., 2017

Document ID
13034461841039028318
Author
Yabuta M
Nguyen A
Kato S
Edahiro M
Kawashima H
Publication year
Publication venue
IEEE Transactions on Parallel and Distributed Systems

External Links

Snippet

The problem of scaling out relational join performance for large data sets in the database management system (DBMS) has been studied for years. Although in-memory DBMS engines can reduce load times by storing data in the main memory, join queries still remain …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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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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    • G06F17/30492—Efficient disk access during query execution
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