SciPy-bundle 2020.11-fosscuda-2020b
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Bundle of Python packages for scientific softwareAccessing SciPy-bundle 2020.11-fosscuda-2020b
To load the module for SciPy-bundle 2020.11-fosscuda-2020b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load SciPy-bundle/2020.11-fosscuda-2020b
There is a CPU version of this module: SciPy-bundle 2020.11-foss-2020b
BEAR Apps Version
Architectures
EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)
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.
Extensions
- Bottleneck 1.3.2
- deap 1.3.1
- mpi4py 3.0.3
- mpmath 1.1.0
- numexpr 2.7.1
- numpy 1.19.4
- pandas 1.1.4
- scipy 1.5.4
More Information
For more information visit the SciPy-bundle website.
Dependencies
This version of SciPy-bundle has a direct dependency on: fosscuda/2020b pybind11/2.6.0-GCCcore-10.2.0 Python/3.8.6-GCCcore-10.2.0
Required By
This version of SciPy-bundle is a direct dependent of: bokeh/2.3.1-fosscuda-2020b dask/2021.4.0-fosscuda-2020b DECODE/0.10.0-fosscuda-2020b h5py/3.1.0-fosscuda-2020b matplotlib/3.3.3-fosscuda-2020b networkx/2.5-fosscuda-2020b PyTorch/1.7.1-fosscuda-2020b scikit-learn/0.23.2-fosscuda-2020b TensorFlow/2.4.1-fosscuda-2020b
Other Versions
These versions of SciPy-bundle are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Last modified on 23rd February 2021