15.5.: migration still running, estimate for finishing: Monday, 18.5.

13.5., 9:00:  final migration steps with data synchronization have been started,

no login possible until migration complete

The December module updates and deprecations have been rolled out today. Please look out for deprecation warnings in your Slurm output.

Please be aware of the following module changes (if default appears at the end, this is the new default!):

New/updated scientific Modules:
====================
elk/10.7.8-impi2021.10-intel2023.2 (default)
gromacs/2025.4-ompi5.0-gcc13.2-mkl2023.2-cuda12.9
nwchem/7.3.1-ompi5.0-cf  (default)
octave/10.3.0-cf  (default)
orca/6.1.1  (default)
qchem/6.3.1
qchem/6.4.0  (default)
siesta/5.4.1-ompi5.0-cf  (default)

New/updated common Modules:
====================
cmake/3.31.10
cmake/4.2.1 (default)
ffmpeg/8.0.1 (default)
meson/1.10.0 (default)
meson/1.9.2
ninja/1.13.2 (default)
anaconda/2025.12 (default)
apptainer/1.4.5 (default)
cudnn/cu11x/9.10.2.21 (default)
cudnn/cu12x/9.17.0.29 (default)
cuquantum/cu11x/25.06.0.10 (default)
cuquantum/cu12x/25.11.1.11 (default)
cutensor/cu11x/2.2.0.0 (default)
cutensor/cu12x/2.4.1.4 (default)
gdrcopy/2.5.1
go/1.24.11
go/1.25.5 (default)
julia/1.10.10
julia/1.12.2 (default)
micromamba/2.4.0 (default)
miniforge/25.11.0 (default)
nccl/cu12.9/2.27.7
nccl/cu12.9/2.28.9 (default)
openjdk/11.0.29+7
openjdk/17.0.17+10
openjdk/21.0.9+10
openjdk/25.0.1+8 (default)
openjdk/8.u472-b08

Deprecated Modules (to be hidden on 15th of January 2026 and removed on 30th of January 2026):
=================================================
cmake/4.0.3: Please use cmake/4.2.1 or higher!
anaconda/2024.06: Please use anaconda/2024.10 or higher!
apptainer/1.3.5: Please use apptainer/1.3.6 or higher!
julia/1.10.8: Please use julia/1.10.10 or higher!
julia/1.11.3: Please use julia/1.12.2 or higher!
elk/10.5.16-impi2021.10-intel2023.2: Please use elk/10.7.8-impi2021.10-intel2023.2 or higher!
elk/10.6.2-impi2021.10-intel2023.2: Please use elk/10.7.8-impi2021.10-intel2023.2 or higher!
ffmpeg/6.1: Please use ffmpeg/7.0.1 or higher!
meson/1.4.2: Please use meson/1.8.4 or higher!
meson/1.5.2: Please use meson/1.8.4 or higher!
meson/1.7.2: Please use meson/1.8.4 or higher!
micromamba/2.0.5: Please use micromamba/2.4.0 or higher!
micromamba/2.2.0: Please use micromamba/2.4.0 or higher!
micromamba/2.3.0: Please use micromamba/2.4.0 or higher!
qchem/6.3.0: Please use qchem/6.3.1 or higher!
octave/8.4.0-cf: Please use octave/9.1.0-cf or higher!
siesta/5.2.0-ompi4.1-cf: Please use siesta/5.4.1-ompi5.0-cf or higher!
siesta/5.4.0-ompi5.0-cf: Please use siesta/5.4.1-ompi5.0-cf or higher!
comsol/6.1: Please use comsol/6.2 or higher!
cuda/11.6.2: Please use cuda/11.8.0 or higher!
cuda/12.1.1: Please use cuda/12.5.1 or higher!
cuda/12.2.2: Please use cuda/12.5.1 or higher!
cuda/12.3.2: Please use cuda/12.5.1 or higher!
cuda/12.4.1: Please use cuda/12.5.1 or higher!
cuda/12.6.2: Please use cuda/12.6.3 or higher!
cuda/12.8.0: Please use cuda/12.8.1 or higher!
cuda-compat/12.9.1: The current cuda driver is already newer!
nccl/cu12.2/2.21.5: Please use nccl/cu12.5/2.21.5 or higher!
nccl/cu12.4/2.21.5: Please use nccl/cu12.5/2.21.5 or higher!
cudnn/cu11x/8.9.7.29: Please use cudnn/cu11x/9.10.2.21 or higher!
cudnn/cu11x/9.0.0.312: Please use cudnn/cu11x/9.10.2.21 or higher!
cudnn/cu11x/9.1.1.17: Please use cudnn/cu11x/9.10.2.21 or higher!
cudnn/cu11x/9.2.1.18: Please use cudnn/cu11x/9.10.2.21 or higher!
cudnn/cu11x/9.3.0.75: Please use cudnn/cu11x/9.10.2.21 or higher!
cudnn/cu11x/9.4.0.58: Please use cudnn/cu11x/9.10.2.21 or higher!
cudnn/cu11x/9.5.1.17: Please use cudnn/cu11x/9.10.2.21 or higher!
cudnn/cu12x/8.9.7.29: Please use cudnn/cu12x/9.17.0.29 or higher!
cudnn/cu12x/9.0.0.312: Please use cudnn/cu12x/9.17.0.29 or higher!
cudnn/cu12x/9.1.1.17: Please use cudnn/cu12x/9.17.0.29 or higher!
cudnn/cu12x/9.2.1.18: Please use cudnn/cu12x/9.17.0.29 or higher!
cudnn/cu12x/9.3.0.75: Please use cudnn/cu12x/9.17.0.29 or higher!
cudnn/cu12x/9.4.0.58: Please use cudnn/cu12x/9.17.0.29 or higher!
cudnn/cu12x/9.5.1.17: Please use cudnn/cu12x/9.17.0.29 or higher!
cutensor/cu11x/2.0.1.2: Please use cutensor/cu11x/2.2.0.0 or higher!
cutensor/cu11x/2.0.2.5: Please use cutensor/cu11x/2.2.0.0 or higher!
cutensor/cu12x/2.0.1.2: Please use cutensor/cu12x/2.4.1.4 or higher!
cutensor/cu12x/2.0.2.5: Please use cutensor/cu12x/2.4.1.4 or higher!
cuquantum/cu11x/24.03.0.4: Please use cuquantum/cu11x/25.06.0.10 or higher!
cuquantum/cu11x/24.08.0.5: Please use cuquantum/cu11x/25.06.0.10 or higher!
cuquantum/cu11x/24.11.0.21: Please use cuquantum/cu11x/25.06.0.10 or higher!
cuquantum/cu12x/24.03.0.4: Please use cuquantum/cu12x/25.11.1.11 or higher!
cuquantum/cu12x/24.08.0.5: Please use cuquantum/cu12x/25.11.1.11 or higher!
cuquantum/cu12x/24.11.0.21: Please use cuquantum/cu12x/25.11.1.11 or higher!

If you experience problems with any module, please let us know! 

Both clusters ALCC and LiCCA are back online.

We announced a maintenance window for both clusters
ALCC and LiCCA to update the Slurm version to 25.11.
One of the main reasons are improvements to the
GPU allocation for Slurm jobs,
which is broken in the current version 25.05.

We might still have to adjust the Slurm configuration
for GPU job handling in the days following the update,
meaning eventually draining and restarting Slurm
daemons again.

We will at least temporarily lower the TimeLimit
in the GPU partitions from 3 to 2 days.
This might cause some inconvenience for long time active users,
but will provide a good alternative to cancelling/killing jobs
due to required restarts of the system.