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-0.12.0a200130.tar.gz (19.3 kB view details)

Uploaded Source

Built Distribution

dask_cuda-0.12.0a200130-py3-none-any.whl (27.7 kB view details)

Uploaded Python 3

File details

Details for the file dask-cuda-0.12.0a200130.tar.gz.

File metadata

  • Download URL: dask-cuda-0.12.0a200130.tar.gz
  • Upload date:
  • Size: 19.3 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-0.12.0a200130.tar.gz
Algorithm Hash digest
SHA256 c6a17e7fdfc1f0fc9875a549e15495fb1c7a1ce03c436a7e350244e4a22e6b89
MD5 e6eb5f5c46067d507b2bb95cf6fff14d
BLAKE2b-256 25ae5fcaa6d0f72cb90f295021a5f3df9e0c3b3ac5a01da99e0cbbfc9815e7e5

See more details on using hashes here.

File details

Details for the file dask_cuda-0.12.0a200130-py3-none-any.whl.

File metadata

  • Download URL: dask_cuda-0.12.0a200130-py3-none-any.whl
  • Upload date:
  • Size: 27.7 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-0.12.0a200130-py3-none-any.whl
Algorithm Hash digest
SHA256 f09f8c66294cb15b647c47ded28d42df9c0713324ab175495b7557134ae03ada
MD5 c83fe23a9c563b4c2b066a67bd330b86
BLAKE2b-256 3e4f531fdb605c6a217a78dc73d20b597e694c48e0b0df77f61cbb13789237b3

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