Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383422837> ?p ?o ?g. }
- W4383422837 endingPage "14674" @default.
- W4383422837 startingPage "14634" @default.
- W4383422837 abstract "A nonlinear partial differential equation (PDE) based compartmental model of COVID-19 provides a continuous trace of infection over space and time. Finer resolutions in the spatial discretization, the inclusion of additional model compartments and model stratifications based on clinically relevant categories contribute to an increase in the number of unknowns to the order of millions. We adopt a parallel scalable solver that permits faster solutions for these high fidelity models. The solver combines domain decomposition and algebraic multigrid preconditioners at multiple levels to achieve the desired strong and weak scalabilities. As a numerical illustration of this general methodology, a five-compartment susceptible-exposed-infected-recovered-deceased (SEIRD) model of COVID-19 is used to demonstrate the scalability and effectiveness of the proposed solver for a large geographical domain (Southern Ontario). It is possible to predict the infections for a period of three months for a system size of 186 million (using 3200 processes) within 12 hours saving months of computational effort needed for the conventional solvers." @default.
- W4383422837 created "2023-07-07" @default.
- W4383422837 creator A5003946047 @default.
- W4383422837 creator A5009164180 @default.
- W4383422837 creator A5024462955 @default.
- W4383422837 creator A5027111059 @default.
- W4383422837 creator A5044907842 @default.
- W4383422837 creator A5050534415 @default.
- W4383422837 creator A5056743979 @default.
- W4383422837 date "2023-01-01" @default.
- W4383422837 modified "2023-09-27" @default.
- W4383422837 title "Scalable computational algorithms for geospatial COVID-19 spread using high performance computing" @default.
- W4383422837 cites W1428340059 @default.
- W4383422837 cites W1548589512 @default.
- W4383422837 cites W1780245888 @default.
- W4383422837 cites W1979628867 @default.
- W4383422837 cites W1981220107 @default.
- W4383422837 cites W1996531874 @default.
- W4383422837 cites W2006867710 @default.
- W4383422837 cites W2008679491 @default.
- W4383422837 cites W2009121431 @default.
- W4383422837 cites W2013829163 @default.
- W4383422837 cites W2016638303 @default.
- W4383422837 cites W2017880874 @default.
- W4383422837 cites W2019434176 @default.
- W4383422837 cites W2025549820 @default.
- W4383422837 cites W2030647818 @default.
- W4383422837 cites W2038220764 @default.
- W4383422837 cites W2039789965 @default.
- W4383422837 cites W2040425390 @default.
- W4383422837 cites W2041876368 @default.
- W4383422837 cites W2047679457 @default.
- W4383422837 cites W2048342430 @default.
- W4383422837 cites W2061423359 @default.
- W4383422837 cites W2074686342 @default.
- W4383422837 cites W2080552677 @default.
- W4383422837 cites W2082187902 @default.
- W4383422837 cites W2104126767 @default.
- W4383422837 cites W2114535880 @default.
- W4383422837 cites W2169437869 @default.
- W4383422837 cites W2955609205 @default.
- W4383422837 cites W2963889991 @default.
- W4383422837 cites W2964180189 @default.
- W4383422837 cites W3015623674 @default.
- W4383422837 cites W3019445951 @default.
- W4383422837 cites W3043442870 @default.
- W4383422837 cites W3046489604 @default.
- W4383422837 cites W3048914250 @default.
- W4383422837 cites W3135531418 @default.
- W4383422837 cites W3169896837 @default.
- W4383422837 cites W3186633320 @default.
- W4383422837 cites W3196497319 @default.
- W4383422837 cites W3210141265 @default.
- W4383422837 cites W4220874029 @default.
- W4383422837 cites W4229665264 @default.
- W4383422837 cites W4237997615 @default.
- W4383422837 cites W4239975174 @default.
- W4383422837 cites W4302331569 @default.
- W4383422837 cites W654805605 @default.
- W4383422837 doi "https://doi.org/10.3934/mbe.2023655" @default.
- W4383422837 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37679152" @default.
- W4383422837 hasPublicationYear "2023" @default.
- W4383422837 type Work @default.
- W4383422837 citedByCount "0" @default.
- W4383422837 crossrefType "journal-article" @default.
- W4383422837 hasAuthorship W4383422837A5003946047 @default.
- W4383422837 hasAuthorship W4383422837A5009164180 @default.
- W4383422837 hasAuthorship W4383422837A5024462955 @default.
- W4383422837 hasAuthorship W4383422837A5027111059 @default.
- W4383422837 hasAuthorship W4383422837A5044907842 @default.
- W4383422837 hasAuthorship W4383422837A5050534415 @default.
- W4383422837 hasAuthorship W4383422837A5056743979 @default.
- W4383422837 hasBestOaLocation W43834228371 @default.
- W4383422837 hasConcept C11413529 @default.
- W4383422837 hasConcept C121332964 @default.
- W4383422837 hasConcept C126255220 @default.
- W4383422837 hasConcept C134306372 @default.
- W4383422837 hasConcept C135628077 @default.
- W4383422837 hasConcept C137119250 @default.
- W4383422837 hasConcept C173608175 @default.
- W4383422837 hasConcept C198880260 @default.
- W4383422837 hasConcept C199360897 @default.
- W4383422837 hasConcept C2778770139 @default.
- W4383422837 hasConcept C33923547 @default.
- W4383422837 hasConcept C36503486 @default.
- W4383422837 hasConcept C41008148 @default.
- W4383422837 hasConcept C459310 @default.
- W4383422837 hasConcept C48044578 @default.
- W4383422837 hasConcept C73000952 @default.
- W4383422837 hasConcept C77088390 @default.
- W4383422837 hasConcept C93779851 @default.
- W4383422837 hasConcept C97355855 @default.
- W4383422837 hasConceptScore W4383422837C11413529 @default.
- W4383422837 hasConceptScore W4383422837C121332964 @default.
- W4383422837 hasConceptScore W4383422837C126255220 @default.
- W4383422837 hasConceptScore W4383422837C134306372 @default.
- W4383422837 hasConceptScore W4383422837C135628077 @default.
- W4383422837 hasConceptScore W4383422837C137119250 @default.