AWS ParallelCluster v3.9.0
We're excited to announce the release of AWS ParallelCluster Cookbook 3.9.0
This is associated with AWS ParallelCluster v3.9.0
ENHANCEMENTS
- Permit to update the external shared storage of type Efs, FsxLustre, FsxOntap, FsxOpenZfs and FileCache
without replacing compute and login fleet. - Add support for RHEL9.
- Add support for Rocky Linux 9 as
CustomAmi
created throughbuild-image
process. No public official ParallelCluster Rocky9 Linux AMI is made available at this time. - Add the configuration parameter
DeploymentSettings/DefaultUserHome
to allow users to move the default user's home directory to/local/home
instead of/home
(default).- SSH connections will be closed and rejected while the user's home directory is being moved during the bootstrapping process.
- Add possibility to choose between Open and Closed Source Nvidia Drivers when building an AMI, through the
['cluster']['nvidia']['kernel_open']
cookbook node attribute. - Add configuration parameter
DeploymentSettings/DisableSudoAccessForDefaultUser
to disable sudo access of default user in supported OSes.
CHANGES
- Upgrade Slurm to 23.11.4 (from 23.02.7).
- Upgrade Pmix to 4.2.9 (from 4.2.6).
- Upgrade NVIDIA driver to version 535.154.05.
- Upgrade EFA installer to
1.30.0
.- Efa-driver:
efa-2.6.0-1
- Efa-config:
efa-config-1.15-1
- Efa-profile:
efa-profile-1.6-1
- Libfabric-aws:
libfabric-aws-1.19.0
- Rdma-core:
rdma-core-46.0-1
- Open MPI:
openmpi40-aws-4.1.6-2
andopenmpi50-aws-5.0.0-11
- Efa-driver:
- Upgrade NICE DCV to version
2023.1-16388
.- server:
2023.1.16388-1
- xdcv:
2023.1.565-1
- gl:
2023.1.1047-1
- web_viewer:
2023.1.16388-1
- server:
- Upgrade ARM PL to version 23.10.
- Upgrade third-party cookbook dependencies:
- nfs-5.1.2 (from nfs-5.0.0)
BUG FIXES
- Fix issue making job fail when submitted as active directory user from login nodes.
The issue was caused by an incomplete configuration of the integration with the external Active Directory on the head node. - Fix issue making login nodes fail to bootstrap when the head node takes more time than expected in writing keys.