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Floratos et al., 2021 - Google Patents

NestGPU: Nested query processing on GPU

Floratos et al., 2021

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Document ID
11684376246070892200
Author
Floratos S
Xiao M
Wang H
Guo C
Yuan Y
Lee R
Zhang X
Publication year
Publication venue
2021 IEEE 37th International Conference on Data Engineering (ICDE)

External Links

Snippet

Nested queries are commonly used to express complex use-cases by connecting the output of a subquery as an input to the outer query block. However, their execution is highly time- consuming. Researchers have proposed various algorithms and techniques that unnest …
Continue reading at par.nsf.gov (PDF) (other versions)

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
    • G06F17/30442—Query optimisation
    • G06F17/30448—Query rewriting and transformation
    • G06F17/30474—Run-time optimisation
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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