dask 2.8.0-foss-2019b-Python-3.7.4

There is a newer install of dask

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

Accessing dask 2.8.0-foss-2019b-Python-3.7.4

To load the module for dask 2.8.0-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load dask/2.8.0-foss-2019b-Python-3.7.4

BEAR Apps Version

2019b

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.

Extensions

  • cloudpickle 1.2.2
  • dask 2.8.0
  • dask-jobqueue-0.7.0
  • dask-mpi-2.0.0
  • distributed 2.8.0
  • docrep 0.2.7
  • fsspec 0.6.0
  • HeapDict 1.0.1
  • locket 0.2.0
  • msgpack 0.6.2
  • partd 1.0.0
  • sortedcontainers 2.1.0
  • tblib 1.5.0
  • toolz 0.10.0
  • zict 1.0.0

More Information

For more information visit the dask website.

Dependencies

This version of dask has a direct dependency on: bokeh/1.4.0-foss-2019b-Python-3.7.4 foss/2019b Python/3.7.4-GCCcore-8.3.0 PyYAML/5.1.2-GCCcore-8.3.0 SciPy-bundle/2019.10-foss-2019b-Python-3.7.4

Required By

This version of dask is a direct dependent of: BEAR-Python-DataScience/2019b-foss-2019b-Python-3.7.4 BEAR-Python-Sciences/2019b-foss-2019b-Python-3.7.4 GCPy/1.0.3-foss-2019b-Python-3.7.4 MetaXcan/0.7.3-foss-2019b-Python-3.7.4 scikit-image/0.16.2-foss-2019b-Python-3.7.4 xESMF/0.3.0-foss-2019b-Python-3.7.4

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.

Last modified on 6th May 2020