Efficient parallel solution of the 3D stationary Boltzmann transport equation for diffusive problems.
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| Title: | Efficient parallel solution of the 3D stationary Boltzmann transport equation for diffusive problems. |
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| Authors: | Moustafa, Salli1,2 (AUTHOR) salli.moustafa@edf.fr, Févotte, François1 (AUTHOR) francois.fevotte@edf.fr, Faverge, Mathieu2,3 (AUTHOR) mathieu.faverge@inria.fr, Plagne, Laurent1 (AUTHOR) laurent.plagne@edf.fr, Ramet, Pierre2,4 (AUTHOR) pierre.ramet@inria.fr |
| Source: | Journal of Computational Physics. Jul2019, Vol. 388, p335-349. 15p. |
| Subjects: | Transport theory, Inverse scattering transform, Degrees of freedom |
| Abstract: | • High performance sweep algorithm including 3 nested levels of parallelism. • A novel scalable PDSA acceleration technique for diffusive problems. • Full Core PWR computation with 1012 DoFs solved in 45 min using 1536 cores. This paper presents an efficient parallel method for the deterministic solution of the 3D stationary Boltzmann transport equation applied to diffusive problems such as nuclear core criticality computations. Based on standard MultiGroup-Sn-DD discretization schemes, our approach combines a highly efficient nested parallelization strategy [1] with the PDSA parallel acceleration technique [2] applied for the first time to 3D transport problems. These two key ingredients enable us to solve extremely large neutronic problems involving up to 1012 degrees of freedom in less than an hour using 64 super-computer nodes. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Computational Physics is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 136088389 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient parallel solution of the 3D stationary Boltzmann transport equation for diffusive problems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Moustafa%2C+Salli%22">Moustafa, Salli</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> salli.moustafa@edf.fr</i><br /><searchLink fieldCode="AR" term="%22Févotte%2C+François%22">Févotte, François</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> francois.fevotte@edf.fr</i><br /><searchLink fieldCode="AR" term="%22Faverge%2C+Mathieu%22">Faverge, Mathieu</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> mathieu.faverge@inria.fr</i><br /><searchLink fieldCode="AR" term="%22Plagne%2C+Laurent%22">Plagne, Laurent</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> laurent.plagne@edf.fr</i><br /><searchLink fieldCode="AR" term="%22Ramet%2C+Pierre%22">Ramet, Pierre</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<i> pierre.ramet@inria.fr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+Physics%22">Journal of Computational Physics</searchLink>. Jul2019, Vol. 388, p335-349. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Transport+theory%22">Transport theory</searchLink><br /><searchLink fieldCode="DE" term="%22Inverse+scattering+transform%22">Inverse scattering transform</searchLink><br /><searchLink fieldCode="DE" term="%22Degrees+of+freedom%22">Degrees of freedom</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • High performance sweep algorithm including 3 nested levels of parallelism. • A novel scalable PDSA acceleration technique for diffusive problems. • Full Core PWR computation with 1012 DoFs solved in 45 min using 1536 cores. This paper presents an efficient parallel method for the deterministic solution of the 3D stationary Boltzmann transport equation applied to diffusive problems such as nuclear core criticality computations. Based on standard MultiGroup-Sn-DD discretization schemes, our approach combines a highly efficient nested parallelization strategy [1] with the PDSA parallel acceleration technique [2] applied for the first time to 3D transport problems. These two key ingredients enable us to solve extremely large neutronic problems involving up to 1012 degrees of freedom in less than an hour using 64 super-computer nodes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Computational Physics is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jcp.2019.03.019 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 335 Subjects: – SubjectFull: Transport theory Type: general – SubjectFull: Inverse scattering transform Type: general – SubjectFull: Degrees of freedom Type: general Titles: – TitleFull: Efficient parallel solution of the 3D stationary Boltzmann transport equation for diffusive problems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Moustafa, Salli – PersonEntity: Name: NameFull: Févotte, François – PersonEntity: Name: NameFull: Faverge, Mathieu – PersonEntity: Name: NameFull: Plagne, Laurent – PersonEntity: Name: NameFull: Ramet, Pierre IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 00219991 Numbering: – Type: volume Value: 388 Titles: – TitleFull: Journal of Computational Physics Type: main |
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