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-0.13.0b200218.tar.gz (26.1 kB view details)

Uploaded Source

Built Distribution

dask_cuda-0.13.0b200218-py3-none-any.whl (35.0 kB view details)

Uploaded Python 3

File details

Details for the file dask-cuda-0.13.0b200218.tar.gz.

File metadata

  • Download URL: dask-cuda-0.13.0b200218.tar.gz
  • Upload date:
  • Size: 26.1 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-0.13.0b200218.tar.gz
Algorithm Hash digest
SHA256 59bed76e60e1d3f64cc337792d07479f120ba2c274e24756cb608023c8bb0ca1
MD5 a50c4a2bdd070e9f9e06dab5be9b2318
BLAKE2b-256 6e4dd571b5c0cd341c1e478801673d12550cbf84d15101887b8bac9ac86ee463

See more details on using hashes here.

File details

Details for the file dask_cuda-0.13.0b200218-py3-none-any.whl.

File metadata

  • Download URL: dask_cuda-0.13.0b200218-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-0.13.0b200218-py3-none-any.whl
Algorithm Hash digest
SHA256 cbbdcbd138e962802c4adc670317a0762bc3abb00f49df2223057f42645a5dd8
MD5 d54f67a72c00bdc7779d151ebe849551
BLAKE2b-256 4463e6cc265085b557711f16eb21a9b29b85957ece81f3e6067437a85784d53a

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