Student lab room
Practical application of the theoretical knowledge gained in lectures is crucial in the education of students. To that end, many of the the chair’s lectures are supplemented and extended by lab exercises and lab courses, respectively. To be able to hold these classes directly at the chair, WW8 has a lab room suitable for up to 10 students. The room is furnished ergonomically.
Equipment
| 1 | Fujitsu Esprimo P910, Intel Core i5-3570 (4cores), 16 GB RAM |
| 3 | Fujitsu CELSIUS W580, Intel Xeon E-2278G (8 cores/16threads) 32 GB RAM, NVIDIA Quatro P400 |
| 2 | Fujitsu CELSIUS W580, Intel Xeon E-2278G (8 cores/16threads) 64 GB RAM, NVIDIA Quatro P400 |
| 1 | Fujitsu CELSIUS W580, Intel Xeon E-2278G (8 cores/16threads) 32 GB RAM, NVIDIA Quatro RTX 4000 |
GNU/Linux Fedora 36:
Open Source Software:
- gcc 12.2
- julia 1.7.3
- git
- Gimp
- GNU Octave
- Blender 3.3.0
- Inkscape
- Texstudio
- Texmaker
- LibreOffice
- Python 3.10 (2.7, 3.6, 3.7, 3.8, 3.9, 3.11)
- Mayavi 2
- HDFView
- Paraview (4.0.1, 4.3.0, 5.5.2, 5.7.0, 5.9.0, 5.10)
- code-aster
- Elmer FEM
- OpenSCAD
- Ovito
- Salome 9.7.0, 9.9.0 (meca 2020.0.1)
- Handbrake
Other Software:
- FAUbox
- Codeium
- Zoom
- Abaqus/CAE 2018, 2020, 2021
- Matlab Teaching R2022b
- Wolfram Mathematica 12.2, 13,0
Parallel Computers
Increased computational capacity can be achieved by the use of multiple processing cores. To develop and test ideas and simulations, the chair owns multiple systems which are designed for parallel computing.
| 1 | Intel Xeon 12 cores/24 threads 48 GB RAM |
| 1 | AMD Epyc 24 cores/48theads 256 GB RAM |
| 1 | Intel Xeon 12 cores/24 threads 192 GB RAM |
| 1 | AMD 48 cores 512 GB RAM |
| 1 | Intel Xeon 12 cores/24 threads 48 GB RAM |