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-0.14.0a200410.tar.gz (25.3 kB view details)

Uploaded Source

Built Distribution

dask_cuda-0.14.0a200410-py3-none-any.whl (35.0 kB view details)

Uploaded Python 3

File details

Details for the file dask-cuda-0.14.0a200410.tar.gz.

File metadata

  • Download URL: dask-cuda-0.14.0a200410.tar.gz
  • Upload date:
  • Size: 25.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200325 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.10

File hashes

Hashes for dask-cuda-0.14.0a200410.tar.gz
Algorithm Hash digest
SHA256 57b9a31b6bdf9d85edfc3a0057bb0194fce8f80fe4eff8ae5108cc94706a8b98
MD5 aea3c9f676ebb4ae1b819edd6ecd2726
BLAKE2b-256 09bade933317729de78711041af1b5632e90c50297690b08a739f6f4447edb19

See more details on using hashes here.

File details

Details for the file dask_cuda-0.14.0a200410-py3-none-any.whl.

File metadata

  • Download URL: dask_cuda-0.14.0a200410-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/2.23.0 setuptools/46.1.3.post20200325 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.10

File hashes

Hashes for dask_cuda-0.14.0a200410-py3-none-any.whl
Algorithm Hash digest
SHA256 31940c13a6fb588c40e7225391c3703c59f2d887c395c4338ba461d826b95b83
MD5 d3e2f3d8e2c4ec9ed7c3ca30d263c9ca
BLAKE2b-256 8e3bb8b88274aaf904906253d4b81f20776a060c6d37e77368de6ee6ccb78dcb

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