Author
Listed:
- Neda Ebrahimi Pour
(German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization)
- Marco Cristofaro
(German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization)
- Immo Huismann
(German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization)
- Jana Gericke-Schuster
(German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization)
- Johannes Wendler
(German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization)
Abstract
Finite element methods have a crucial role in many engineering applications. With the utilization of high-performance computing, the scope of realizable models has expanded exponentially, while maintaining reasonable time to solution expectations. In the context of this study, we dive into the performance analysis of two distinct applications the (i) structural mechanics with the b2000++pro software, and (ii) mesh deformation with the FSMeshDeformation plugin from the FlowSimulator universe. Our investigation begins with the extraction of traces obtained from simulation runs using Score-P. Traces are subsequently subjected to comprehensive scrutiny using the visualization tool Vampir. To further refine our analysis, we strategically employ LIKWID to examine the most time-intensive segments of the code. Obtained results are then translated into the Roofline model. The investigation reveals that the performance of the analyzed hot loops is noticeably lower than the theoretical Roofline performance. This finding signifies that a noteworthy portion of the total runtime is neither limited by floating-point performance nor by available memory bandwidth. Options to close this performance gap are further discussed in this contribution.
Suggested Citation
Neda Ebrahimi Pour & Marco Cristofaro & Immo Huismann & Jana Gericke-Schuster & Johannes Wendler, 2026.
"Accelerating the FlowSimulator: Performance Analysis of Finite Element Methods on High–Performance Computers,"
Springer Books, in: Christoph Niethammer & Hartmut Mix & Wolfgang E. Nagel & Michael M. Resch (ed.), Tools for High Performance Computing 2023, pages 110-126,
Springer.
Handle:
RePEc:spr:sprchp:978-3-032-16397-4_7
DOI: 10.1007/978-3-032-16397-4_7
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
for a similarly titled item that would be
available.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-032-16397-4_7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.