We are excited to announce that the Summer 2024 maintenance work was completed successfully. All RCD services have been restored and are ready for users to access.
During the maintenance period, we made the following improvements:
- Critical updates to network and storage infrastructure were completed.
- These improvements have improved performance and stability for all users of the cluster.
- GitLab was updated to a new major version, v17.2.2.
- ColdFront was updated to v1.9.0.
New features include:- Ability to request a GitLab group.
- GitLab group provides enhanced features for organizing projects and repositories under a common namespace, simplifying permission management and collaboration on larger, team-based initiatives.
- PIs can create GitLab groups by requesting a GitLab Group Allocation on ColdFront.
- To learn more, please see the GitLab Group Allocation documentation page.
- Slurm was upgraded to v24.05.2.
- Spack MPI modules built with the old version of Slurm will need to be rebuilt.
- Some MPI-enabled modules were moved in the module hierarchy.
- The following were affected:
- fftw/3.3.10
- hdf5/1.14.3
- netcdf-c/4.9.2
- netcdf-cxx4/4.3.1
- netcdf-fortran/4.6.1
- netlib-scalapack/2.2.0
- osu-micro-benchmarks/7.3
- parallel-netcdf/1.12.3
- To load any moved modules, you must first load the openmpi/5.0.1 module.
- The following were affected:
- Additionally, some AMD-optimized MPI modules were moved in the module hierarchy.
- The following were affected:
- amdfftw/4.1
- amdscalapack/4.1
- lammps/20231121
- To load these packages, you must first load both the openmpi/5.0.1 and aocc/4.1.0 modules.
- The following were affected:
- These changes were made to better reflect the dependencies of certain packages and distinguish between MPI and non-MPI packages of the same version:
- HDF5 was recompiled with support for C++, Fortran, High-Level APIs (hl).
- 2 versions of HDF5 are available, one with MPI and one without.
- hdf5/1.14.2 was upgraded to hdf5/1.14.3 (non-MPI)
- HDF5 was recompiled with support for C++, Fortran, High-Level APIs (hl).
- CUDA-Aware Open MPI was rebuilt with better support for multi-node GPU detection when using Kokkos.
- Users need to rebuild Lammps following the instructions at https://github.com/clemsonciti/palmetto-examples/tree/master/LAMMPS/SLURM
We appreciate your patience during the maintenance period and hope that these changes will improve the user experience.
If you have any questions or have encountered post-maintenance issues, please let us know by submitting a support ticket.