Skip to main content

Utilities for Dask and CUDA interactions

Project description

Dask CUDA

Various utilities to improve deployment and management of Dask workers on CUDA-enabled systems.

This library is experimental, and its API is subject to change at any time without notice.

Example

from dask_cuda import LocalCUDACluster
from dask.distributed import Client

cluster = LocalCUDACluster()
client = Client(cluster)

What this is not

This library does not automatically convert your Dask code to run on GPUs.

It only helps with deployment and management of Dask workers in multi-GPU systems. Parallelizing GPU libraries like RAPIDS and CuPy with Dask is an ongoing effort. You may wish to read about this effort at blog.dask.org for more information..

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dask-cuda-0.13.0b200225.tar.gz (25.0 kB view details)

Uploaded Source

Built Distribution

dask_cuda-0.13.0b200225-py3-none-any.whl (35.0 kB view details)

Uploaded Python 3

File details

Details for the file dask-cuda-0.13.0b200225.tar.gz.

File metadata

  • Download URL: dask-cuda-0.13.0b200225.tar.gz
  • Upload date:
  • Size: 25.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0.post20200119 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.6.7

File hashes

Hashes for dask-cuda-0.13.0b200225.tar.gz
Algorithm Hash digest
SHA256 4fd3f35b1320f107902bdbec6de1d755fed4c9a83be4d4fe9ca4838ee38ab430
MD5 e812c28f9c49d4d1d69ecd085c5121f4
BLAKE2b-256 48e6a6c72a3e7b8f7070df186d5f5d08863894ec76a4adfbd8adf6117d985a0e

See more details on using hashes here.

File details

Details for the file dask_cuda-0.13.0b200225-py3-none-any.whl.

File metadata

  • Download URL: dask_cuda-0.13.0b200225-py3-none-any.whl
  • Upload date:
  • Size: 35.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0.post20200119 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.6.7

File hashes

Hashes for dask_cuda-0.13.0b200225-py3-none-any.whl
Algorithm Hash digest
SHA256 17f833a01092b0dbe03033e3aaa07c5fe13347142fde112e77c06715a785ee2d
MD5 716c5784ec99dbc3d6f3fabb1aa1c16e
BLAKE2b-256 09b504ad0febd29a7cfa68b0b3516a8cac5c80b9b32d457d064c0aee0e05505d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page