This release is a pre-release and may not be stable for production use.
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..
Release files for dask-cuda 0.13.0b200211
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dask-cuda-0.13.0b200211.tar.gz | 24.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dask_cuda-0.13.0b200211-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.5 kB
Release files / dask-cuda-0.13.0b200211.tar.gz
| Download URL | dask-cuda-0.13.0b200211.tar.gz |
|---|---|
| Size | 24.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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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
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Release files / dask_cuda-0.13.0b200211-py3-none-any.whl
| Download URL | dask_cuda-0.13.0b200211-py3-none-any.whl |
|---|---|
| Size | 35.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| 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
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