Please do not run any Jupyter applications at OSC until further notice due to a security vulnerability.
OSC will update JupyterLab and Jupyter Notebook applications to rectify this as soon as possible.
List of versions changed:
References for more information:
You might encounter an error while pulling a large Docker image:
ERROR: toomanyrequests: Too Many Requests.
or
We found mpiexec/mpirun from OpenMPI can not be used in an interactive session (launched by sinteractive) after upgrading Pitzer and Owens to Slurm 20.11.4. Please use srun only while you use OpenMPI in an interactive session.
Updated on Feb 25:
StarCCM license outage is restored.
Original post:
OSC's starccm software license will expire at 12 a.m., Sunday, Feb 21, 2021, making the software unavailable until the license is renewed.
A partial-node MPI job may fail to start using mpiexec from intelmpi/2019.3 and intelmpi/2019.7 with error messages like
Users would encounter a MPI job failed with openmpi/3.1.0-hpcx on Owens and Pitzer. The job would stop with the error like "There are not enough slots available in the system to satisfy the slots". Please switch to openmpi/3.1.4-hpcx. The buggy version openmpi/3.1.0-hpcx will be removed on August 18 2020.
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Resolved: We removed openmpi/3.1.0-hpcx on August 18 2020.
Users may experience unable to unload Intel software stack via module rm intel after switching between intel and ohter compilers. This is a known issue with current versions of Lmod on Pitzer and Ruby. The issue will be fixed by upgrading Lmod during system-wide downtime May 19th.
The CUDA debugger, cuda-gdb, can raise a segmentation fault immediately upon execution. A workaround before executing cuda-gdb is to unload the xalt module, e.g.:
module unload xalt
This issue affects most cuda modules on Pitzer and Owens.
Users may encoutner an error like 'libim_client.so: undefined reference to `uuid_unparse@UUID_1.0' while compiling MPI applications with mvapich2 in some Conda enivronments. We found pre-installed libuuid package from Conda conflicting with system libuuid libraries. The affected Conda packages are python/2.7-conda5.2, python/3.6-conda5.2 and python/3.7-2019.10.
Users may encounter under-performing MPI jobs or failures of compiling MPI applications if you are using Conda from system. We found pre-installed mpich2 package in some Conda environments overrides default MPI path. The affected Conda packages are python/2.7-conda5.2 and python/3.6-conda5.2. If users experience these issues, please re-load MPI module, e.g. module load mvapich2/2.3.2 after setting up your Conda environment.
