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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
-------
```python
from dask_cuda import LocalCUDACluster
from dask.distributed import Client
cluster = LocalCUDACluster()
client = Client(cluster)
```
Documentation is available [here](https://dask-cuda.readthedocs.io/).
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](https://rapids.ai) and
[CuPy](https://cupy.chainer.org) with Dask is an ongoing effort. You may wish
to read about this effort at [blog.dask.org](https://blog.dask.org) for more
information. Additional information about Dask-CUDA can also be found in the
[docs]( https://dask-cuda.readthedocs.io ).
PyPI 官网下载 | dask-cuda-0.16.0a200810.tar.gz
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