FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4282014594> ?p ?o ?g. }

• W4282014594 endingPage "106747" @default.
• W4282014594 startingPage "106747" @default.
• W4282014594 abstract "Discrete Fracture Network models are largely used for large scale geological flow simulations in fractured media. For these complex simulations, it is worth investigating suitable numerical methods and tools for efficient parallel solutions on High Performance Computing systems. In this paper we propose and compare different partitioning strategies, that result to be highly efficient and scalable, overperforming the classical mesh partitioning approach used to balance the workload of a conforming mesh among several processes. The proposed DFN-based partitioning strategies rely on the distribution of the fractures among parallel processes. The computational cost of the DFN-based partitionings is very small compared to the cost of classical mesh partitioning and the numerical results prove their effectiveness and good performances in solving linear systems for realistic DFN flow simulations." @default.
• W4282014594 created "2022-06-13" @default.
• W4282014594 creator A5062535182 @default.
• W4282014594 creator A5075653896 @default.
• W4282014594 date "2022-09-01" @default.
• W4282014594 modified "2023-10-16" @default.
• W4282014594 title "Efficient partitioning of conforming virtual element discretizations for large scale discrete fracture network flow parallel solvers" @default.
• W4282014594 cites W1585329782 @default.
• W4282014594 cites W1840625515 @default.
• W4282014594 cites W1966037514 @default.
• W4282014594 cites W1978305759 @default.
• W4282014594 cites W1984277341 @default.
• W4282014594 cites W2026883812 @default.
• W4282014594 cites W2045131532 @default.
• W4282014594 cites W2047049848 @default.
• W4282014594 cites W2050965716 @default.
• W4282014594 cites W2061576869 @default.
• W4282014594 cites W2066420657 @default.
• W4282014594 cites W2070232376 @default.
• W4282014594 cites W2071140455 @default.
• W4282014594 cites W2075448306 @default.
• W4282014594 cites W2080225225 @default.
• W4282014594 cites W2100501044 @default.
• W4282014594 cites W2168914934 @default.
• W4282014594 cites W2178615947 @default.
• W4282014594 cites W2474629035 @default.
• W4282014594 cites W2530301806 @default.
• W4282014594 cites W2565292718 @default.
• W4282014594 cites W2571520280 @default.
• W4282014594 cites W2607775705 @default.
• W4282014594 cites W2625904199 @default.
• W4282014594 cites W2732477057 @default.
• W4282014594 cites W2751665915 @default.
• W4282014594 cites W2895234414 @default.
• W4282014594 cites W2903669007 @default.
• W4282014594 cites W2946918560 @default.
• W4282014594 cites W2964307594 @default.
• W4282014594 cites W3029295578 @default.
• W4282014594 cites W3111745832 @default.
• W4282014594 cites W2945000097 @default.
• W4282014594 doi "https://doi.org/10.1016/j.enggeo.2022.106747" @default.
• W4282014594 hasPublicationYear "2022" @default.
• W4282014594 type Work @default.
• W4282014594 citedByCount "3" @default.
• W4282014594 countsByYear W42820145942023 @default.
• W4282014594 crossrefType "journal-article" @default.
• W4282014594 hasAuthorship W4282014594A5062535182 @default.
• W4282014594 hasAuthorship W4282014594A5075653896 @default.
• W4282014594 hasConcept C111919701 @default.
• W4282014594 hasConcept C11413529 @default.
• W4282014594 hasConcept C120314980 @default.
• W4282014594 hasConcept C121332964 @default.
• W4282014594 hasConcept C126255220 @default.
• W4282014594 hasConcept C127313418 @default.
• W4282014594 hasConcept C127413603 @default.
• W4282014594 hasConcept C135628077 @default.
• W4282014594 hasConcept C171872576 @default.
• W4282014594 hasConcept C173608175 @default.
• W4282014594 hasConcept C181145010 @default.
• W4282014594 hasConcept C187320778 @default.
• W4282014594 hasConcept C2524010 @default.
• W4282014594 hasConcept C2778476105 @default.
• W4282014594 hasConcept C2778755073 @default.
• W4282014594 hasConcept C33923547 @default.
• W4282014594 hasConcept C38349280 @default.
• W4282014594 hasConcept C41008148 @default.
• W4282014594 hasConcept C43369102 @default.
• W4282014594 hasConcept C459310 @default.
• W4282014594 hasConcept C48044578 @default.
• W4282014594 hasConcept C57879066 @default.
• W4282014594 hasConcept C62520636 @default.
• W4282014594 hasConcept C66938386 @default.
• W4282014594 hasConcept C77088390 @default.
• W4282014594 hasConceptScore W4282014594C111919701 @default.
• W4282014594 hasConceptScore W4282014594C11413529 @default.
• W4282014594 hasConceptScore W4282014594C120314980 @default.
• W4282014594 hasConceptScore W4282014594C121332964 @default.
• W4282014594 hasConceptScore W4282014594C126255220 @default.
• W4282014594 hasConceptScore W4282014594C127313418 @default.
• W4282014594 hasConceptScore W4282014594C127413603 @default.
• W4282014594 hasConceptScore W4282014594C135628077 @default.
• W4282014594 hasConceptScore W4282014594C171872576 @default.
• W4282014594 hasConceptScore W4282014594C173608175 @default.
• W4282014594 hasConceptScore W4282014594C181145010 @default.
• W4282014594 hasConceptScore W4282014594C187320778 @default.
• W4282014594 hasConceptScore W4282014594C2524010 @default.
• W4282014594 hasConceptScore W4282014594C2778476105 @default.
• W4282014594 hasConceptScore W4282014594C2778755073 @default.
• W4282014594 hasConceptScore W4282014594C33923547 @default.
• W4282014594 hasConceptScore W4282014594C38349280 @default.
• W4282014594 hasConceptScore W4282014594C41008148 @default.
• W4282014594 hasConceptScore W4282014594C43369102 @default.
• W4282014594 hasConceptScore W4282014594C459310 @default.
• W4282014594 hasConceptScore W4282014594C48044578 @default.
• W4282014594 hasConceptScore W4282014594C57879066 @default.
• W4282014594 hasConceptScore W4282014594C62520636 @default.
• W4282014594 hasConceptScore W4282014594C66938386 @default.
• W4282014594 hasConceptScore W4282014594C77088390 @default.

• next