There is a newer version of HDF5HDF5 is a unique technology suite that makes possible the management of extremely large and complex data collections.
Accessing HDF5 1.10.7-gompi-2020b
To load the module for HDF5 1.10.7-gompi-2020b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load HDF5/1.10.7-gompi-2020b
There is a GPU enabled version of this module: HDF5 1.10.7-gompic-2020b
BEAR Apps Version
EL8-cascadelake — EL8-haswell — Ubuntu20.04-haswell
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
For more information visit the HDF5 website.
This version of HDF5 has a direct dependency on: gompi/2020b Szip/2.1.1-GCCcore-10.2.0 zlib/1.2.11-GCCcore-10.2.0
This version of HDF5 is a direct dependent of: CDO/1.9.10-gompi-2020b Elmer-FEM/9.0-foss-2020b GDAL/3.2.1-foss-2020b h5py/2.10.0-foss-2020b h5py/3.1.0-foss-2020b HDF-EOS5/1.16-gompi-2020b LAMMPS/29Oct2020-foss-2020b-kokkos ncbi-vdb/2.10.9-gompi-2020b NCL/6.6.2-foss-2020b netCDF/4.7.4-gompi-2020b OpenCV/4.5.1-foss-2020b-contrib OpenMC/0.12.1-foss-2020b PyTables/3.6.1-foss-2020b R/4.0.3-foss-2020b R-bundle-Bioconductor/3.12-foss-2020b-R-4.0.3 SRA-Toolkit/2.10.9-gompi-2020b
These versions of HDF5 are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Last modified on 22nd February 2021