dask 2021.4.0-fosscuda-2020b

Dask provides multi-core execution on larger-than-memory datasets using blocked algorithms and task scheduling.

Accessing dask 2021.4.0-fosscuda-2020b

To load the module for dask 2021.4.0-fosscuda-2020b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load dask/2021.4.0-fosscuda-2020b

There is a CPU version of this module: dask 2021.4.0-foss-2020b

BEAR Apps Version

2020b

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

cloudpickle 1.6.0
dask 2021.4.0
dask-jobqueue-0.7.2
dask-mpi-2.21.0
distributed 2021.4.0
docrep 0.3.2
fsspec 0.8.7
HeapDict 1.0.1
locket 0.2.1
msgpack 1.0.2
partd 1.1.0
tblib 1.7.0
toolz 0.11.1
zict 2.0.0

More Information

For more information visit the dask website.

Dependencies

This version of dask has a direct dependency on: bokeh/2.3.1-fosscuda-2020b fosscuda/2020b Python/3.8.6-GCCcore-10.2.0 PyYAML/5.3.1-GCCcore-10.2.0 SciPy-bundle/2020.11-fosscuda-2020b

Required By

This version of dask is a direct dependent of: scikit-image/0.18.1-fosscuda-2020b

Other Versions

These versions of dask 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
2023.7.1-foss-2022b	2022b
2022.12.0-foss-2022a	2022a
2022.10.0-foss-2022a	2022a
2022.1.0-foss-2021b	2021b
2021.9.1-foss-2021a	2021a
2021.4.0-foss-2020b	2020b
2.18.1-foss-2020a-Python-3.8.2	2020a
2.8.0-foss-2019b-Python-3.7.4	2019b
2.3.0-foss-2019a-Python-3.7.2	2019a
0.19.4-foss-2018b-Python-3.6.6	2018b

Last modified on 21st March 2022