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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 ).
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资源分类:Python库 所属语言:Python 资源全名:dask-cuda-21.12.0a211119.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059
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dask-cuda-21.12.0a211119.tar.gz (39个子文件)
dask-cuda-21.12.0a211119
MANIFEST.in 77B
PKG-INFO 2KB
dask_cuda
proxify_host_file.py 28KB
is_device_object.py 1KB
utils.py 22KB
local_cuda_cluster.py 17KB
benchmarks
utils.py 11KB
local_cudf_merge.py 15KB
__init__.py 0B
local_cupy.py 14KB
local_cudf_shuffle.py 10KB
local_cupy_map_overlap.py 9KB
explicit_comms
dataframe
shuffle.py 13KB
__init__.py 0B
comms.py 8KB
__init__.py 0B
__init__.py 903B
proxify_device_objects.py 7KB
cuda_worker.py 9KB
worker_spec.py 5KB
get_device_memory_objects.py 4KB
device_host_file.py 9KB
_version.py 18KB
initialize.py 7KB
proxy_object.py 28KB
cli
__init__.py 0B
dask_cuda_worker.py 11KB
dask_cuda.egg-info
PKG-INFO 2KB
requires.txt 82B
SOURCES.txt 1KB
entry_points.txt 92B
top_level.txt 10B
dependency_links.txt 1B
LICENSE 11KB
setup.cfg 782B
requirements.txt 82B
setup.py 1KB
README.md 1KB
versioneer.py 67KB
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