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-0.12.0a191229.tar.gz (18.3 kB view details)

Uploaded Source

Built Distribution

dask_cuda-0.12.0a191229-py3-none-any.whl (27.6 kB view details)

Uploaded Python 3

File details

Details for the file dask-cuda-0.12.0a191229.tar.gz.

File metadata

  • Download URL: dask-cuda-0.12.0a191229.tar.gz
  • Upload date:
  • Size: 18.3 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-0.12.0a191229.tar.gz
Algorithm Hash digest
SHA256 5893d1dbdf8db4c07998b025abc83f7703bb04a44207551c1c8738edf6c27730
MD5 65f76fa39161199149be76787a9f2123
BLAKE2b-256 980705ae50490a70bfa9829e2933f8e55f189c35f28c94c7a3b4a9e25cde462c

See more details on using hashes here.

File details

Details for the file dask_cuda-0.12.0a191229-py3-none-any.whl.

File metadata

  • Download URL: dask_cuda-0.12.0a191229-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-0.12.0a191229-py3-none-any.whl
Algorithm Hash digest
SHA256 a057c136afc771d8a3273f2ce2e8c0a0ae3c054d523a69d027bbdf8b586de25d
MD5 fada2303f63194dd1cd6a826d54f6d21
BLAKE2b-256 31705ea83f88aa2bbabf083bfe59799a2efee5ec49b9fa235a35e8c7f3797fbb

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