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..
1 maintainer
Metadata
1 maintainer
Release files for dask-cuda 0.12.0a200110
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-0.12.0a200110.tar.gz | 19.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dask_cuda-0.12.0a200110-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.9 kB
Release files / dask-cuda-0.12.0a200110.tar.gz
| Download URL | dask-cuda-0.12.0a200110.tar.gz |
|---|---|
| Size | 19.3 kB |
| Tags | Source |
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twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191201 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3
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Release files / dask_cuda-0.12.0a200110-py3-none-any.whl
| Download URL | dask_cuda-0.12.0a200110-py3-none-any.whl |
|---|---|
| Size | 27.7 kB |
| Tags | Python 3 |
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twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191201 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3
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