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MORB: Difference between revisions

Model Order Reduction Benchmarker (MORB): add links to prototype reports
add CD Player report
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{{preliminary}} <!-- Do not remove -->
A new benchmarking tool for model order reduction is currently under development. It is a demonstrator of the generic benchmark framework 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.


A new benchmarking tool for model order reduction is currently under development. It is a demonstrator of the generic benchmark framework 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 ==
 
An overview of MaRDI and MORB are provided in the poster, which was presented at [https://more.sciencesconf.org/ Model Reduction and Surrogate Modeling (MORE)], 19-23 September 2022, Berlin, Germany.
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.


[[File:Morb2022.pdf|180px]]
[[File:Morb2022.pdf|180px]]


As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational.  See [[File:cdPlayer_n120m2q2.pdf|180px]] and [[File:steelProfile_n1357m7q6.pdf|180px]] for example reports.
== MATLAB prototype example ==
 
As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational.  See [[File:cdPlayer_n120m2q2.pdf]] for an example report on the [[CD Player]] benchmark.
Please check back often for updates.

Revision as of 13:33, 15 February 2023

A new benchmarking tool for model order reduction is currently under development. It is a demonstrator of the generic benchmark framework 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.

MATLAB prototype example

As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. See Error creating thumbnail: /bin/bash: line 1: /usr/local/bin/convert: No such file or directory **** Error: Page drawing error occurred. Could not draw this page at all, page will be missing in the output. for an example report on the CD Player benchmark.