Utilities for Dask and CUDA interactions
Project description
Dask CUDA
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.
Currently Includes
LocalCUDACluster: a subclass ofdask.distributed.LocalClusterthat eases deployment on single-node multi-GPU systems.
Example
from dask_cuda import LocalCUDACluster from dask.distributed import Client cluster = LocalCUDACluster() client = Client(cluster)
Release history Release notifications
Download files
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 |
Close
Hashes for dask_cuda-0.6.0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c2e9b120837979b2d0f76a78d0c6cdf8882e49185ba6e6812421e0156cc1491c |
|
| MD5 | d821331b760d5d3bc22f2ed90628ad3d |
|
| BLAKE2-256 | a63f6e776a21f378e1b761ce62e335866c3def08701cd9b89a5f0fa8ec98ce7e |
