FAQ and Troubleshooting
- How do I register myself to use the HPC resources?
- How do I get access to the LiCCA or ALCC resources?
- What kind of resources are available on LiCCA?
- What kind of resources are available on ALCC?
- How do I acknowledge the usage of HPC resources on LiCCA in publications?
- How do I acknowledge the usage of HPC resources on ALCC in publications?
- What Slurm Partitions (Queues) are available on LiCCA?
- What Slurm Partitions (Queues) are available on ALCC?
- What is Slurm?
- How do I use Slurm batch system
- How do I submit the serial calculations?
- How do I run multithreaded calculations?
- How do I run parallel calculations on several nodes?
- How do I run GPU based calculations?
- How do I check Slurm current schedule, queue?
- Is there some kind of Remote Desktop for the cluster?
- If I have a question which is not listed here?
- If I want to report a problem?
- Which version of Python could be used?
- Which Anaconda, Miniconda, Miniforge, Micromamba?
- How do I monitor live CPU/GPU/memory/disk utilization?
- How do I check my GPFS filesystem usage and quota situation?
- Why does the slurm squeue command show (PartitionTimeLimit) next to the submitted job?
- Why does the slurm squeue command show (MaxCpuPerAccount), (MaxJobsPerAccount) or (MaxGRESPerAccount) next to the submitted job?
- Why does the slurm squeue command show (QOSMaxJobsPerUserLimit) next to the submitted job?
- Why does the slurm squeue command show (Nodes required for job are DOWN, DRAINED or reserved for jobs in higher priority partitions) next to the submitted job?
- Resources
- Status
- Access
- Data Transfer
- File Systems
- Environment Modules (Lmod)
- Interactive (Debug) Runs (not Slurm)
- Submitting Jobs (Slurm Batch System)
- Slurm
- HPC Software and Libraries
- HPC Tuning Guide
- Service and Support
- Origin of the name
- FAQ and Troubleshooting - LiCCA
Monday, 18.5.: final synchronization done, clusters ALCC and LiCCA are back online. In case of problems, please open a ticket with our Service-Desk.
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.
