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Parallel performance of shared memory parallel spectral deferred corrections.

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Τίτλος: Parallel performance of shared memory parallel spectral deferred corrections.
Συγγραφείς: Freese, Philip1 (AUTHOR) philip.freese@tuhh.de, Götschel, Sebastian1 (AUTHOR), Lunet, Thibaut1 (AUTHOR), Ruprecht, Daniel1 (AUTHOR), Schreiber, Martin2 (AUTHOR)
Πηγή: International Journal of High Performance Computing Applications. Sep2026, Vol. 40 Issue 5, p643-655. 13p.
Θεματικοί όροι: *Parallel processing, Initial value problems, Computer performance, Numerical solutions to equations, Shallow-water equations, Benchmark problems (Computer science)
Περίληψη: We investigate the parallel performance of Parallel Spectral Deferred corrections, a numerical approach that provides small-scale parallelism for the numerical solution of initial value problems. The scheme is applied to the shallow-water equation and uses an implicit-explicit splitting that, in order to be efficient, integrates fast modes implicitly and slow modes explicitly. We describe parallel OpenMP-based implementations of parallel Spectral Deferred Corrections for two well established simulation codes: the finite volume based operational ocean model ICON-O and the spherical harmonics based research code SWEET. We also develop a performance model and benchmark our implementations on a single node of the JUSUF (SWEET) and JUWELS (ICON-O) system at Jülich Supercomputing Centre. A reduction of time-to-solution across a range of accuracies is demonstrated. For ICON-O, we show speedup over the currently used Adams–Bashforth-2 integrator with OpenMP loop parallelization. For SWEET, we show speedup over serial Spectral Deferred Corrections and a second order implicit-explicit integrator. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of High Performance Computing Applications is the property of Sage Publications 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.)
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  Data: Parallel performance of shared memory parallel spectral deferred corrections.
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  Data: <searchLink fieldCode="AR" term="%22Freese%2C+Philip%22">Freese, Philip</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> philip.freese@tuhh.de</i><br /><searchLink fieldCode="AR" term="%22Götschel%2C+Sebastian%22">Götschel, Sebastian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lunet%2C+Thibaut%22">Lunet, Thibaut</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ruprecht%2C+Daniel%22">Ruprecht, Daniel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schreiber%2C+Martin%22">Schreiber, Martin</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+High+Performance+Computing+Applications%22">International Journal of High Performance Computing Applications</searchLink>. Sep2026, Vol. 40 Issue 5, p643-655. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Parallel+processing%22">Parallel processing</searchLink><br /><searchLink fieldCode="DE" term="%22Initial+value+problems%22">Initial value problems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+performance%22">Computer performance</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+solutions+to+equations%22">Numerical solutions to equations</searchLink><br /><searchLink fieldCode="DE" term="%22Shallow-water+equations%22">Shallow-water equations</searchLink><br /><searchLink fieldCode="DE" term="%22Benchmark+problems+%28Computer+science%29%22">Benchmark problems (Computer science)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We investigate the parallel performance of Parallel Spectral Deferred corrections, a numerical approach that provides small-scale parallelism for the numerical solution of initial value problems. The scheme is applied to the shallow-water equation and uses an implicit-explicit splitting that, in order to be efficient, integrates fast modes implicitly and slow modes explicitly. We describe parallel OpenMP-based implementations of parallel Spectral Deferred Corrections for two well established simulation codes: the finite volume based operational ocean model ICON-O and the spherical harmonics based research code SWEET. We also develop a performance model and benchmark our implementations on a single node of the JUSUF (SWEET) and JUWELS (ICON-O) system at Jülich Supercomputing Centre. A reduction of time-to-solution across a range of accuracies is demonstrated. For ICON-O, we show speedup over the currently used Adams–Bashforth-2 integrator with OpenMP loop parallelization. For SWEET, we show speedup over serial Spectral Deferred Corrections and a second order implicit-explicit integrator. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of High Performance Computing Applications is the property of Sage Publications 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:
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    Identifiers:
      – Type: doi
        Value: 10.1177/10943420251400406
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 643
    Subjects:
      – SubjectFull: Parallel processing
        Type: general
      – SubjectFull: Initial value problems
        Type: general
      – SubjectFull: Computer performance
        Type: general
      – SubjectFull: Numerical solutions to equations
        Type: general
      – SubjectFull: Shallow-water equations
        Type: general
      – SubjectFull: Benchmark problems (Computer science)
        Type: general
    Titles:
      – TitleFull: Parallel performance of shared memory parallel spectral deferred corrections.
        Type: main
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          Name:
            NameFull: Freese, Philip
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            NameFull: Götschel, Sebastian
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            NameFull: Lunet, Thibaut
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            NameFull: Ruprecht, Daniel
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          Dates:
            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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              Value: 40
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            – TitleFull: International Journal of High Performance Computing Applications
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