dask 2.8.0-fosscuda-2019b-Python-3.7.4

There is a newer version of dask

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

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

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

module load dask/2.8.0-fosscuda-2019b-Python-3.7.4

There is a CPU version of this module: dask 2.8.0-foss-2019b-Python-3.7.4

BEAR Apps Version



  • 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.


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

Required By

This version of dask is a direct dependent of: BEAR-Python-DataScience/2019b-fosscuda-2019b-Python-3.7.4 BEAR-Python-DataScience/2019b-fosscuda-2019b-Python-3.7.4-ppc64le scikit-image/0.16.2-fosscuda-2019b-Python-3.7.4

Other Versions

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

Last modified on 4th February 2020