Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000790156> ?p ?o ?g. }
- W2000790156 endingPage "1096" @default.
- W2000790156 startingPage "1084" @default.
- W2000790156 abstract "Specialized processing units such as GPUs or FPGAs provide great opportunities to speed up database operations by exploiting parallelism and relieving the CPU. However, distributing a workload on suitable (co-)processors is a challenging task, because of the heterogeneous nature of a hybrid processor/co-processor system. In this paper, we present a framework that automatically learns and adapts execution models for arbitrary algorithms on any (co-)processor. Our physical optimizer uses the execution models to distribute a workload of database operators on available (co-)processing devices. We demonstrate its applicability for two common use cases in modern database systems. Additionally, we contribute an overview of GPU-co-processing approaches, an in-depth discussion of our framework's operator model, the required steps for deploying our framework in practice and the support of complex operators requiring multi-dimensional learning strategies." @default.
- W2000790156 created "2016-06-24" @default.
- W2000790156 creator A5024712151 @default.
- W2000790156 creator A5026492103 @default.
- W2000790156 creator A5042946019 @default.
- W2000790156 creator A5068875440 @default.
- W2000790156 creator A5077199631 @default.
- W2000790156 creator A5081393035 @default.
- W2000790156 date "2013-11-01" @default.
- W2000790156 modified "2023-10-03" @default.
- W2000790156 title "Efficient co-processor utilization in database query processing" @default.
- W2000790156 cites W1607968443 @default.
- W2000790156 cites W1832624679 @default.
- W2000790156 cites W1936410615 @default.
- W2000790156 cites W1997824438 @default.
- W2000790156 cites W2004477204 @default.
- W2000790156 cites W2004772832 @default.
- W2000790156 cites W2039767911 @default.
- W2000790156 cites W2047210602 @default.
- W2000790156 cites W2050277572 @default.
- W2000790156 cites W2068418796 @default.
- W2000790156 cites W2081728040 @default.
- W2000790156 cites W2087708523 @default.
- W2000790156 cites W2096668111 @default.
- W2000790156 cites W2099891946 @default.
- W2000790156 cites W2100415730 @default.
- W2000790156 cites W2112828875 @default.
- W2000790156 cites W2120276090 @default.
- W2000790156 cites W2124592110 @default.
- W2000790156 cites W2126118553 @default.
- W2000790156 cites W2127766448 @default.
- W2000790156 cites W2129817042 @default.
- W2000790156 cites W2130561688 @default.
- W2000790156 cites W2136083615 @default.
- W2000790156 cites W2151224499 @default.
- W2000790156 cites W2157777898 @default.
- W2000790156 cites W3015405303 @default.
- W2000790156 cites W3021702690 @default.
- W2000790156 cites W64489547 @default.
- W2000790156 doi "https://doi.org/10.1016/j.is.2013.05.004" @default.
- W2000790156 hasPublicationYear "2013" @default.
- W2000790156 type Work @default.
- W2000790156 sameAs 2000790156 @default.
- W2000790156 citedByCount "40" @default.
- W2000790156 countsByYear W20007901562013 @default.
- W2000790156 countsByYear W20007901562014 @default.
- W2000790156 countsByYear W20007901562015 @default.
- W2000790156 countsByYear W20007901562016 @default.
- W2000790156 countsByYear W20007901562017 @default.
- W2000790156 countsByYear W20007901562018 @default.
- W2000790156 countsByYear W20007901562019 @default.
- W2000790156 countsByYear W20007901562020 @default.
- W2000790156 countsByYear W20007901562021 @default.
- W2000790156 countsByYear W20007901562022 @default.
- W2000790156 crossrefType "journal-article" @default.
- W2000790156 hasAuthorship W2000790156A5024712151 @default.
- W2000790156 hasAuthorship W2000790156A5026492103 @default.
- W2000790156 hasAuthorship W2000790156A5042946019 @default.
- W2000790156 hasAuthorship W2000790156A5068875440 @default.
- W2000790156 hasAuthorship W2000790156A5077199631 @default.
- W2000790156 hasAuthorship W2000790156A5081393035 @default.
- W2000790156 hasConcept C148840519 @default.
- W2000790156 hasConcept C157692150 @default.
- W2000790156 hasConcept C164120249 @default.
- W2000790156 hasConcept C192939062 @default.
- W2000790156 hasConcept C23123220 @default.
- W2000790156 hasConcept C41008148 @default.
- W2000790156 hasConcept C54239708 @default.
- W2000790156 hasConcept C77088390 @default.
- W2000790156 hasConcept C97854310 @default.
- W2000790156 hasConceptScore W2000790156C148840519 @default.
- W2000790156 hasConceptScore W2000790156C157692150 @default.
- W2000790156 hasConceptScore W2000790156C164120249 @default.
- W2000790156 hasConceptScore W2000790156C192939062 @default.
- W2000790156 hasConceptScore W2000790156C23123220 @default.
- W2000790156 hasConceptScore W2000790156C41008148 @default.
- W2000790156 hasConceptScore W2000790156C54239708 @default.
- W2000790156 hasConceptScore W2000790156C77088390 @default.
- W2000790156 hasConceptScore W2000790156C97854310 @default.
- W2000790156 hasFunder F4320321114 @default.
- W2000790156 hasIssue "8" @default.
- W2000790156 hasLocation W20007901561 @default.
- W2000790156 hasOpenAccess W2000790156 @default.
- W2000790156 hasPrimaryLocation W20007901561 @default.
- W2000790156 hasRelatedWork W1601704076 @default.
- W2000790156 hasRelatedWork W1974233818 @default.
- W2000790156 hasRelatedWork W2119126456 @default.
- W2000790156 hasRelatedWork W2186703450 @default.
- W2000790156 hasRelatedWork W2350026801 @default.
- W2000790156 hasRelatedWork W2354970673 @default.
- W2000790156 hasRelatedWork W2363027842 @default.
- W2000790156 hasRelatedWork W2368479705 @default.
- W2000790156 hasRelatedWork W2604963418 @default.
- W2000790156 hasRelatedWork W2981354846 @default.
- W2000790156 hasVolume "38" @default.
- W2000790156 isParatext "false" @default.
- W2000790156 isRetracted "false" @default.
- W2000790156 magId "2000790156" @default.