dask 2021.9.1-foss-2021a

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

Accessing dask 2021.9.1-foss-2021a

To load the module for dask 2021.9.1-foss-2021a please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load dask/2021.9.1-foss-2021a

BEAR Apps Version

2021a

Architectures

EL8-cascadelakeEL8-haswellEL8-icelake

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

  • BlueBEAR: The OS used on BlueBEAR 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.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.

Extensions

  • cloudpickle 2.0.0
  • dask 2021.9.1
  • dask-jobqueue-0.7.2
  • dask-mpi-2.21.0
  • distributed 2021.9.1
  • docrep 0.3.2
  • fsspec 2021.10.1
  • HeapDict 1.0.1
  • locket 0.2.1
  • msgpack 1.0.2
  • partd 1.2.0
  • 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/2.4.1-foss-2021a foss/2021a Python/3.9.5-GCCcore-10.3.0 PyYAML/5.4.1-GCCcore-10.3.0 SciPy-bundle/2021.05-foss-2021a

Required By

This version of dask is a direct dependent of: scikit-image/0.18.3-foss-2021a

Other Versions

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

Last modified on 7th January 2022