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-0.12.0a200102.tar.gz (19.1 kB view details)

Uploaded Source

Built Distribution

dask_cuda-0.12.0a200102-py3-none-any.whl (27.6 kB view details)

Uploaded Python 3

File details

Details for the file dask-cuda-0.12.0a200102.tar.gz.

File metadata

  • Download URL: dask-cuda-0.12.0a200102.tar.gz
  • Upload date:
  • Size: 19.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191201 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.7

File hashes

Hashes for dask-cuda-0.12.0a200102.tar.gz
Algorithm Hash digest
SHA256 aef253f2a65c40567fd45296e761d406f21f4e4f4f836d0d78be4874ce908373
MD5 57208a49687a33da38e51a90ff17cd56
BLAKE2b-256 f4dcefd0c4448759d7292da1be8f79c0273838aed567874681dcebcbfe79c511

See more details on using hashes here.

File details

Details for the file dask_cuda-0.12.0a200102-py3-none-any.whl.

File metadata

  • Download URL: dask_cuda-0.12.0a200102-py3-none-any.whl
  • Upload date:
  • Size: 27.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191201 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.7

File hashes

Hashes for dask_cuda-0.12.0a200102-py3-none-any.whl
Algorithm Hash digest
SHA256 73d30a2f98c1723ee5160e160ebaec830962d90342dc9ee895dc981035fbaf29
MD5 0dd12811a91c5b5bf5437f97c461dd3e
BLAKE2b-256 81d3be9d1e51367621e73579f67c9ad096a8f1ba1cfdaf37f89419353abe4565

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