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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..

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