(→Model Order Reduction Benchmarker (MORB): add links to prototype reports) |
(add CD Player report) |
||
Line 1: | Line 1: | ||
⚫ | 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. |
||
− | {{preliminary}} <!-- Do not remove --> |
||
+ | == Overview == |
||
⚫ | 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. |
||
⚫ | |||
− | |||
⚫ | |||
[[File:Morb2022.pdf|180px]] |
[[File:Morb2022.pdf|180px]] |
||
+ | == MATLAB prototype example == |
||
− | As of January 2023, a MATLAB prototype for linear-time-invariant (LTI) systems is largely operational. See [[File:cdPlayer_n120m2q2.pdf |
+ | 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 15:33, 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 for an example report on the CD Player benchmark.