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+ | A model order reduction benchmark (MORB) tool is currently under development. It is a demonstrator of the generic benchmark framework (MaRDIMark) developed for Task Area 2 of the Mathematical Research Data Initiative ([https://www.mardi4nfdi.de/about/task-areas MaRDI]) and will serve as an example of how to fairly compare different implementations of algorithms across a standardized benchmark set for scientific computing. |
== Overview == |
== Overview == |
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== mini-MORB (snapshot of MATLAB prototype) == |
== mini-MORB (snapshot of MATLAB prototype) == |
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− | A MATLAB prototype for linear-time-invariant (LTI) |
+ | A MATLAB prototype for linear-time-invariant, first-order systems (LTI-FOS) is largely operational. An example [https://morwiki.mpi-magdeburg.mpg.de/morwiki/index.php/File:CdPlayer_n120m2q2.pdf report] for the [[CD Player]] benchmark is provided. |
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+ | Please also see the [https://onlinelibrary.wiley.com/doi/10.1002/pamm.202300147 report] published in [https://onlinelibrary.wiley.com/journal/16177061 PAMM], as well as the accompanying [https://zenodo.org/record/8093833 code] hosted at [https://zenodo.org Zenodo]. |
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+ | <nowiki> |
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+ | @article{BenLS23, |
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+ | title = {Towards a benchmark framework for model order reduction in the {{Mathematical Research Data Initiative}} ({{MaRDI}})}, |
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+ | author = {Benner, Peter and Lund, Kathryn and Saak, Jens}, |
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+ | year = {2023}, |
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+ | journal = {Proceeding Appl. Math. Mech.}, |
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+ | doi = {10.1002/pamm.202300147}, |
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+ | pages = {e202300147}, |
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+ | volume = 23, |
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+ | number = 3 |
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+ | } |
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+ | |||
+ | @misc{mini-MORB, |
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+ | title = {mini-{{MORB}} ({{Model Order Reduction Benchmarker}})}, |
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+ | author = {Lund, Kathryn and Saak, Jens and Benner, Peter}, |
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+ | year = {2023}, |
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+ | doi = {10.5281/zenodo.8093832} |
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+ | } |
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+ | </nowiki> |
Latest revision as of 15:20, 3 June 2024
A model order reduction benchmark (MORB) tool is currently under development. It is a demonstrator of the generic benchmark framework (MaRDIMark) developed for Task Area 2 of the Mathematical Research Data Initiative (MaRDI) and will serve as an example of how to fairly compare different implementations of algorithms across a standardized benchmark set for scientific computing.
Overview
An overview of MaRDI and MORB are provided in the poster, which was presented at Model Reduction and Surrogate Modeling (MORE), 19-23 September 2022, Berlin, Germany.
mini-MORB (snapshot of MATLAB prototype)
A MATLAB prototype for linear-time-invariant, first-order systems (LTI-FOS) is largely operational. An example report for the CD Player benchmark is provided.
Please also see the report published in PAMM, as well as the accompanying code hosted at Zenodo.
@article{BenLS23, title = {Towards a benchmark framework for model order reduction in the {{Mathematical Research Data Initiative}} ({{MaRDI}})}, author = {Benner, Peter and Lund, Kathryn and Saak, Jens}, year = {2023}, journal = {Proceeding Appl. Math. Mech.}, doi = {10.1002/pamm.202300147}, pages = {e202300147}, volume = 23, number = 3 } @misc{mini-MORB, title = {mini-{{MORB}} ({{Model Order Reduction Benchmarker}})}, author = {Lund, Kathryn and Saak, Jens and Benner, Peter}, year = {2023}, doi = {10.5281/zenodo.8093832} }