Matches in SemOpenAlex for { <https://semopenalex.org/work/W3150241674> ?p ?o ?g. }
- W3150241674 endingPage "942" @default.
- W3150241674 startingPage "929" @default.
- W3150241674 abstract "Modern database management systems employ sophisticated query optimization techniques that enable the generation of efficient plans for queries over very large data sets. A variety of other applications also process large data sets, but cannot leverage database-style query optimization for their code. We therefore identify an opportunity to enhance an open-source programming language compiler with database-style query optimization. Our system dynamically generates execution plans at query time, and runs those plans on chunks of data at a time. Based on feedback from earlier chunks, alternative plans might be used for later chunks. The compiler extension could be used for a variety of data-intensive applications, allowing all of them to benefit from this class of performance optimizations." @default.
- W3150241674 created "2021-04-13" @default.
- W3150241674 creator A5011678778 @default.
- W3150241674 creator A5021663937 @default.
- W3150241674 creator A5032299527 @default.
- W3150241674 creator A5040656804 @default.
- W3150241674 creator A5063425055 @default.
- W3150241674 date "2021-02-01" @default.
- W3150241674 modified "2023-09-24" @default.
- W3150241674 title "Adaptive code generation for data-intensive analytics" @default.
- W3150241674 cites W1194153933 @default.
- W3150241674 cites W1967091776 @default.
- W3150241674 cites W1967601791 @default.
- W3150241674 cites W1969877208 @default.
- W3150241674 cites W1982013147 @default.
- W3150241674 cites W1987238352 @default.
- W3150241674 cites W1992560344 @default.
- W3150241674 cites W2005294557 @default.
- W3150241674 cites W2006552857 @default.
- W3150241674 cites W2019186666 @default.
- W3150241674 cites W2039910065 @default.
- W3150241674 cites W2060883486 @default.
- W3150241674 cites W2062666276 @default.
- W3150241674 cites W2069902027 @default.
- W3150241674 cites W2072541977 @default.
- W3150241674 cites W2082695854 @default.
- W3150241674 cites W2086977914 @default.
- W3150241674 cites W2094269821 @default.
- W3150241674 cites W2096496252 @default.
- W3150241674 cites W2097880677 @default.
- W3150241674 cites W2102729946 @default.
- W3150241674 cites W2103670492 @default.
- W3150241674 cites W2104003087 @default.
- W3150241674 cites W2105079611 @default.
- W3150241674 cites W2106771621 @default.
- W3150241674 cites W2122048769 @default.
- W3150241674 cites W2125529470 @default.
- W3150241674 cites W2147076738 @default.
- W3150241674 cites W2155070484 @default.
- W3150241674 cites W2156000708 @default.
- W3150241674 cites W2158679027 @default.
- W3150241674 cites W2166955231 @default.
- W3150241674 cites W2266823300 @default.
- W3150241674 cites W2406955896 @default.
- W3150241674 cites W2439390339 @default.
- W3150241674 cites W2440477515 @default.
- W3150241674 cites W2547123334 @default.
- W3150241674 cites W2752005949 @default.
- W3150241674 cites W2897173745 @default.
- W3150241674 cites W2898003532 @default.
- W3150241674 cites W3005908620 @default.
- W3150241674 cites W3008469065 @default.
- W3150241674 cites W3028718318 @default.
- W3150241674 cites W3103210770 @default.
- W3150241674 cites W4233762723 @default.
- W3150241674 cites W4252265332 @default.
- W3150241674 doi "https://doi.org/10.14778/3447689.3447697" @default.
- W3150241674 hasPublicationYear "2021" @default.
- W3150241674 type Work @default.
- W3150241674 sameAs 3150241674 @default.
- W3150241674 citedByCount "8" @default.
- W3150241674 countsByYear W31502416742021 @default.
- W3150241674 countsByYear W31502416742022 @default.
- W3150241674 countsByYear W31502416742023 @default.
- W3150241674 crossrefType "journal-article" @default.
- W3150241674 hasAuthorship W3150241674A5011678778 @default.
- W3150241674 hasAuthorship W3150241674A5021663937 @default.
- W3150241674 hasAuthorship W3150241674A5032299527 @default.
- W3150241674 hasAuthorship W3150241674A5040656804 @default.
- W3150241674 hasAuthorship W3150241674A5063425055 @default.
- W3150241674 hasConcept C111919701 @default.
- W3150241674 hasConcept C133162039 @default.
- W3150241674 hasConcept C136197465 @default.
- W3150241674 hasConcept C153083717 @default.
- W3150241674 hasConcept C154945302 @default.
- W3150241674 hasConcept C157692150 @default.
- W3150241674 hasConcept C169590947 @default.
- W3150241674 hasConcept C192028432 @default.
- W3150241674 hasConcept C199360897 @default.
- W3150241674 hasConcept C26517878 @default.
- W3150241674 hasConcept C2777212361 @default.
- W3150241674 hasConcept C41008148 @default.
- W3150241674 hasConcept C77088390 @default.
- W3150241674 hasConcept C79158427 @default.
- W3150241674 hasConceptScore W3150241674C111919701 @default.
- W3150241674 hasConceptScore W3150241674C133162039 @default.
- W3150241674 hasConceptScore W3150241674C136197465 @default.
- W3150241674 hasConceptScore W3150241674C153083717 @default.
- W3150241674 hasConceptScore W3150241674C154945302 @default.
- W3150241674 hasConceptScore W3150241674C157692150 @default.
- W3150241674 hasConceptScore W3150241674C169590947 @default.
- W3150241674 hasConceptScore W3150241674C192028432 @default.
- W3150241674 hasConceptScore W3150241674C199360897 @default.
- W3150241674 hasConceptScore W3150241674C26517878 @default.
- W3150241674 hasConceptScore W3150241674C2777212361 @default.
- W3150241674 hasConceptScore W3150241674C41008148 @default.
- W3150241674 hasConceptScore W3150241674C77088390 @default.
- W3150241674 hasConceptScore W3150241674C79158427 @default.