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-0.13.0b200325.tar.gz (25.4 kB view details)

Uploaded Source

Built Distribution

dask_cuda-0.13.0b200325-py3-none-any.whl (35.1 kB view details)

Uploaded Python 3

File details

Details for the file dask-cuda-0.13.0b200325.tar.gz.

File metadata

  • Download URL: dask-cuda-0.13.0b200325.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-0.13.0b200325.tar.gz
Algorithm Hash digest
SHA256 ac002f68b6fa55cdb561b62b4ad2500d94ce0e6429b826e9631dac7e4af3e14c
MD5 1783cc6e71c182090715e22961ae7c7e
BLAKE2b-256 8d8a87af094962b3d190188fd9b46fb1cdf2a1006df82faf5330b27437f4dd82

See more details on using hashes here.

File details

Details for the file dask_cuda-0.13.0b200325-py3-none-any.whl.

File metadata

  • Download URL: dask_cuda-0.13.0b200325-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-0.13.0b200325-py3-none-any.whl
Algorithm Hash digest
SHA256 d1e62ab7a27eb099ffead4c6f6748054f6a241e62bdac29f0c72ec32d86c5af0
MD5 53e20fc27c8ab80e38d65b9796b530e6
BLAKE2b-256 6f8e433501a4f2c2434de3d678e25e681a20eb862163003798c17e8b96ea5966

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