Matches in SemOpenAlex for { <https://semopenalex.org/work/W2035532835> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W2035532835 endingPage "1899" @default.
- W2035532835 startingPage "1891" @default.
- W2035532835 abstract "The extremal sets of a family F of sets consist of all sets of F that are maximal or minimal with respect to the partial order induced by the subset relation in F . In this paper we present efficient parallel GPU-based algorithms, designed under CUDA architecture, for finding the extremal sets of a family F of sets. The complexity analysis of the presented algorithms together with experimental results showing the efficiency and scalability of the approach is provided. We present parallel algorithms designed under CUDA for finding the extremal sets of a family F of sets.We solve either the maximal or the minimal sets problem.The complexity analysis of the presented algorithms is provided.Algorithms are experimentally tested and several results are provided." @default.
- W2035532835 created "2016-06-24" @default.
- W2035532835 creator A5013449606 @default.
- W2035532835 creator A5057785372 @default.
- W2035532835 creator A5086255484 @default.
- W2035532835 date "2014-01-01" @default.
- W2035532835 modified "2023-09-27" @default.
- W2035532835 title "Finding extremal sets on the GPU" @default.
- W2035532835 cites W2006606301 @default.
- W2035532835 cites W2034379488 @default.
- W2035532835 cites W2053937475 @default.
- W2035532835 cites W2069684871 @default.
- W2035532835 cites W2070102725 @default.
- W2035532835 cites W2095595785 @default.
- W2035532835 cites W2108157916 @default.
- W2035532835 cites W2115607591 @default.
- W2035532835 cites W2124859146 @default.
- W2035532835 cites W2171806394 @default.
- W2035532835 doi "https://doi.org/10.1016/j.jpdc.2013.07.004" @default.
- W2035532835 hasPublicationYear "2014" @default.
- W2035532835 type Work @default.
- W2035532835 sameAs 2035532835 @default.
- W2035532835 citedByCount "6" @default.
- W2035532835 countsByYear W20355328352014 @default.
- W2035532835 countsByYear W20355328352015 @default.
- W2035532835 countsByYear W20355328352016 @default.
- W2035532835 countsByYear W20355328352017 @default.
- W2035532835 countsByYear W20355328352022 @default.
- W2035532835 crossrefType "journal-article" @default.
- W2035532835 hasAuthorship W2035532835A5013449606 @default.
- W2035532835 hasAuthorship W2035532835A5057785372 @default.
- W2035532835 hasAuthorship W2035532835A5086255484 @default.
- W2035532835 hasConcept C121684516 @default.
- W2035532835 hasConcept C173608175 @default.
- W2035532835 hasConcept C2778119891 @default.
- W2035532835 hasConcept C41008148 @default.
- W2035532835 hasConcept C459310 @default.
- W2035532835 hasConceptScore W2035532835C121684516 @default.
- W2035532835 hasConceptScore W2035532835C173608175 @default.
- W2035532835 hasConceptScore W2035532835C2778119891 @default.
- W2035532835 hasConceptScore W2035532835C41008148 @default.
- W2035532835 hasConceptScore W2035532835C459310 @default.
- W2035532835 hasFunder F4320322930 @default.
- W2035532835 hasIssue "1" @default.
- W2035532835 hasLocation W20355328351 @default.
- W2035532835 hasOpenAccess W2035532835 @default.
- W2035532835 hasPrimaryLocation W20355328351 @default.
- W2035532835 hasRelatedWork W2073045545 @default.
- W2035532835 hasRelatedWork W2090121768 @default.
- W2035532835 hasRelatedWork W2143593481 @default.
- W2035532835 hasRelatedWork W2161462353 @default.
- W2035532835 hasRelatedWork W2306641587 @default.
- W2035532835 hasRelatedWork W2497986104 @default.
- W2035532835 hasRelatedWork W2932894012 @default.
- W2035532835 hasRelatedWork W2965967938 @default.
- W2035532835 hasRelatedWork W2982613029 @default.
- W2035532835 hasRelatedWork W3214851784 @default.
- W2035532835 hasVolume "74" @default.
- W2035532835 isParatext "false" @default.
- W2035532835 isRetracted "false" @default.
- W2035532835 magId "2035532835" @default.
- W2035532835 workType "article" @default.