gfbf 2023a

GNU Compiler Collection (GCC) based compiler toolchain, including FlexiBLAS (BLAS and LAPACK support) and (serial) FFTW.

Accessing gfbf 2023a

To load the module for gfbf 2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a module load gfbf/2023a

BEAR Apps Version

2023a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used 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.

More Information

For more information visit the gfbf website.

Dependencies

This version of gfbf has a direct dependency on: FFTW/3.3.10-GCC-12.3.0 FlexiBLAS/3.3.1-GCC-12.3.0 GCC/12.3.0

Required By

This version of gfbf is a direct dependent of: Arrow/14.0.1-gfbf-2023a HF-Datasets/2.18.0-gfbf-2023a imageio/2.33.1-gfbf-2023a IRkernel/1.3.2-gfbf-2023a-R-4.4.1 jax/0.4.25-gfbf-2023a matplotlib/3.7.2-gfbf-2023a ml_dtypes/0.3.2-gfbf-2023a networkx/3.1-gfbf-2023a NiBabel/5.2.0-gfbf-2023a Nilearn/0.10.3-gfbf-2023a ONNX/1.15.0-gfbf-2023a Planet/2.10.0-gfbf-2023a PyTensor/2.17.1-gfbf-2023a R/4.4.1-gfbf-2023a scikit-learn/1.3.1-gfbf-2023a scikit-learn/1.4.2-gfbf-2023a SciPy-bundle/2023.07-gfbf-2023a Seaborn/0.13.2-gfbf-2023a Shapely/2.0.1-gfbf-2023a statsmodels/0.14.1-gfbf-2023a sympy/1.12-gfbf-2023a tensorboard/2.15.1-gfbf-2023a xarray/2023.9.0-gfbf-2023a

Other Versions

These versions of gfbf are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version	BEAR Apps Version
2022b	2022b
2022a	2022a

Last modified on 27th June 2024