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.

Since the last major upgrade of both clusters ALCC
and LiCCA in July, we observe some problems with
Slurm jobs allocating GPUs, and with our Slurm accounting
database. Recent Slurm updates (Slurm version 25.11) should
fix these problems.

Maintenance schedule:

- Friday, 28.November, 9:00, set all partitions to drain
- Monday, 1.December, 9:00, start of Slurm update
-- GPU partitions drained
-- CPU partitions draining, runnning jobs continue,
job survival not guaranteed
- Monday, 1.December: we plan to resume all partitions till 18:00
- login nodes will not be available for users until
the maintenance is finished.

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

After the Maintenance and Upgrade to Ubuntu 24.04 there are two major changes:

- The default cuda version is now v12.8, since this is what the nvidia driver natively supports.
- The intel/2023 compilers need a compatible GNU compiler. Unfortunately intel/2023 compilers are not compatible with gcc v13 which is the new Ubuntu default.
   => When loading intel/2023, gcc v11.5 compilers will now be loaded as well (but without overriding CC, CXX or FC environment variables)

Also please be aware of the following module changes, which just have been deployed (if default appears at the end, this is the new default!):

New/updated scientific Modules:

cp2k/2025.2-ompi5.0-cuda12.8-gcc13.2
cp2k/2025.2-ompi5.0-gcc13.2 (default)
comsol/6.3.0.335 (default)
elk/10.5.16-impi2021.10-intel2023.2 (default)
gromacs/2025.2-ompi5.0-gcc13.2-mkl2023.2-cuda12.9
lammps/20240829.4-ompi5.0-cuda12.9-gcc13.2
lammps/20240829.4-ompi5.0-gcc13.2 (default)
lammps/20250722.0-ompi5.0-cuda12.9-gcc13.2
lammps/20250722.0-ompi5.0-gcc13.2
mathematica/14.2.1 (default)
orca/6.1.0 (default)
qchem/6.3.0 (default)
qe/7.4.1-impi2021.10-intel2023.2 (default)
qe/7.4.1-ompi4.1-nvhpc24.1
siesta/5.4.0-ompi5.0-cf (default)
vasp6/6.5.1-impi2021.10-intel2023.2 (default)
vasp6/6.5.1-cuda12.3-ompi4.1-nvhpc24.1
vasp6/python3.12/6.5.1-impi2021.10-intel2023.2

New/updated common Modules:

cmake/3.31.8 (default)
cmake/4.0.3
cuda-compat/12.9.1
cuda/12.8.1 (default, in line with the CUDA level of the Nvidia driver)
cuda/12.9.1
emacs/30.1 (default)
gdrcopy/2.5
meson/1.8.3 (default)
micromamba/2.3.0 (default)
nccl/cu12.8/2.26.2
ninja/1.13.2 (default)
parallel/20250622 (default)
pmix/5.0.7 (default)
R/4.4.3-cf (default)
ucc/cu11x/1.4.4 (default)
ucc/cu12x/1.4.4 (default)
ucx/cu11x/1.19.0 (default)
ucx/cu12x/1.19.0 (default)

New/updated library Modules:

hdf5/1.14.6 (for compilers gcc/9.5, gcc/11.5, gcc/13.2, intel/2021.4, intel/2023.2, intel/2024.2, nvhpc/24.1) (default)
libxc/7.0.0 (for compilers gcc/13.2, intel/2023.2, intel/2024.2) (default)
openblas/lp64/0.3.30 (for compilers gcc/9.5, gcc/11.5, gcc/13.2) (default)
openblas/ilp64/0.3.30 (for compilers gcc/9.5, gcc/11.5, gcc/13.2)
gmp/6.3.0 (for compilers gcc/13.2) (default)
sqlite3/3.50.4 (for compilers gcc/9.5, gcc/11.5, gcc/13.2) (default)
tblite/0.4.0 (for compilers gcc/13.2) (default)

New/updated MPI Modules:

openmpi/4.1.8 (for compilers gcc/9.5, gcc/11.5, gcc/13.2, intel/2021.4, intel/2023.2, intel/2024.2) (default)
openmpi/5.0.8 (for compilers gcc/9.5, gcc/11.5, gcc/13.2, intel/2021.4, intel/2023.2, intel/2024.2) (default)
hdf5/1.14.6 (for compilers gcc/9.5, gcc/11.5, gcc/13.2, intel/2021.4, intel/2023.2, intel/2024.2, nvhpc/24.1) (default)
netcdf/c/4.9.3 (for compilers gcc/13, intel/2023.2, intel/2024.2) (default)
netcdf/fortran/4.6.2 (for compilers gcc/13, intel/2023.2, intel/2024.2) (default)
pnetcdf/1.14.0 (for compilers gcc/13, intel/2023.2, intel/2024.2) (default)

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