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 0.14.0a200330
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Source distribution (sdist)
| File | Size | Uploaded | |
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| dask-cuda-0.14.0a200330.tar.gz | 25.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dask_cuda-0.14.0a200330-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.0 kB
Release files / dask-cuda-0.14.0a200330.tar.gz
| Download URL | dask-cuda-0.14.0a200330.tar.gz |
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| Size | 25.1 kB |
| Tags | Source |
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Release files / dask_cuda-0.14.0a200330-py3-none-any.whl
| Download URL | dask_cuda-0.14.0a200330-py3-none-any.whl |
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| Size | 34.9 kB |
| Tags | Python 3 |
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