Utilities for Dask and CUDA interactions
Various utilities to improve interoperation between Dask and CUDA-enabled systems.
This repository is designed to be a catch-all for Dask and CUDA utilities. It is experimental and should not be relied upon.
LocalCUDACluster: a subclass of
dask.distributed.LocalClusterthat eases deployment on single-node multi-GPU systems.
from dask_cuda import LocalCUDACluster from dask.distributed import Client cluster = LocalCUDACluster() client = Client(cluster)
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size dask_cuda-0.6.0-py3-none-any.whl (10.4 kB)||File type Wheel||Python version py3||Upload date||Hashes View hashes|
Hashes for dask_cuda-0.6.0-py3-none-any.whl