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-0.14.0a200322.tar.gz (25.4 kB view details)

Uploaded Source

Built Distribution

dask_cuda-0.14.0a200322-py3-none-any.whl (35.1 kB view details)

Uploaded Python 3

File details

Details for the file dask-cuda-0.14.0a200322.tar.gz.

File metadata

  • Download URL: dask-cuda-0.14.0a200322.tar.gz
  • Upload date:
  • Size: 25.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0.post20200209 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10

File hashes

Hashes for dask-cuda-0.14.0a200322.tar.gz
Algorithm Hash digest
SHA256 8358e9a06cb5159d69dff0633b9089f941ecffea0b9e5759414d4479b7edbd37
MD5 32fea57bcdc42d8bdef63260f3b51fe8
BLAKE2b-256 9981899a4168d2b744067454d63282b7585fddf587181d412e68d6d2c3f3d791

See more details on using hashes here.

File details

Details for the file dask_cuda-0.14.0a200322-py3-none-any.whl.

File metadata

  • Download URL: dask_cuda-0.14.0a200322-py3-none-any.whl
  • Upload date:
  • Size: 35.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0.post20200209 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10

File hashes

Hashes for dask_cuda-0.14.0a200322-py3-none-any.whl
Algorithm Hash digest
SHA256 3c5499a111a9c2e77f2a2e45b9a5e3ce7ca75eacd7cb042544bad8d6f255bc14
MD5 5d05c51544a8b679ee388a59b1f4f529
BLAKE2b-256 470f0af4ef15820d8eba3e68072423583f81acf9779de33386dfc6ce54e93412

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