QUW Multiparadigm Parallel Acceleration for Reservoir Simulation.
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| Title: | QUW Multiparadigm Parallel Acceleration for Reservoir Simulation. |
|---|---|
| Authors: | Fung, Larry S. K.1, Sindi, Mohammad O.1, Dogru, Ali H.2 |
| Source: | SPE Journal. Aug2014, Vol. 19 Issue 4, p716-725. 10p. |
| Subjects: | Multiparadigm programming (Computer science), Multiprocessors, Computer programming, Petroleum reserves, Simulation methods & models |
| Abstract: | The article compares and contrasts the single-paradigm programming models message- passing interface and open multiprocessing (MPI or OMP) with the mixed paradigm programming models that are suited for the different modes of parallelism in oil reservoir simulation. Topics include the distributed memory model having superior multi computenode scalability, shared memory model having superior parallel performance on a single compute node, and the mixed MPI-OMP model more memory efficient. |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 108308770 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: QUW Multiparadigm Parallel Acceleration for Reservoir Simulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fung%2C+Larry+S%2E+K%2E%22">Fung, Larry S. K.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sindi%2C+Mohammad+O%2E%22">Sindi, Mohammad O.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dogru%2C+Ali+H%2E%22">Dogru, Ali H.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22SPE+Journal%22">SPE Journal</searchLink>. Aug2014, Vol. 19 Issue 4, p716-725. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multiparadigm+programming+%28Computer+science%29%22">Multiparadigm programming (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Multiprocessors%22">Multiprocessors</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink><br /><searchLink fieldCode="DE" term="%22Petroleum+reserves%22">Petroleum reserves</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article compares and contrasts the single-paradigm programming models message- passing interface and open multiprocessing (MPI or OMP) with the mixed paradigm programming models that are suited for the different modes of parallelism in oil reservoir simulation. Topics include the distributed memory model having superior multi computenode scalability, shared memory model having superior parallel performance on a single compute node, and the mixed MPI-OMP model more memory efficient. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=108308770 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2118/163591-PA Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 716 Subjects: – SubjectFull: Multiparadigm programming (Computer science) Type: general – SubjectFull: Multiprocessors Type: general – SubjectFull: Computer programming Type: general – SubjectFull: Petroleum reserves Type: general – SubjectFull: Simulation methods & models Type: general Titles: – TitleFull: QUW Multiparadigm Parallel Acceleration for Reservoir Simulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fung, Larry S. K. – PersonEntity: Name: NameFull: Sindi, Mohammad O. – PersonEntity: Name: NameFull: Dogru, Ali H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 1086055X Numbering: – Type: volume Value: 19 – Type: issue Value: 4 Titles: – TitleFull: SPE Journal Type: main |
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