Run many `adaptive.Learner`s on many cores (>10k) using `mpi4py.futures`, `ipyparallel`, `dask-mpi`, or `process-pool`.
Project description
The author of this package has not provided a project description
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
adaptive_scheduler-2.0.1.tar.gz
(73.7 kB
view details)
Built Distribution
File details
Details for the file adaptive_scheduler-2.0.1.tar.gz
.
File metadata
- Download URL: adaptive_scheduler-2.0.1.tar.gz
- Upload date:
- Size: 73.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e5f4fc5f96b8f4f8a30893ccc4a447e59f516cdf4f63d9d7d2d5ce1777606827 |
|
MD5 | 129f5499b9ee8e1f87b713fa94eba889 |
|
BLAKE2b-256 | afa20f402ec4cd1359d1907db734ef58f8fe86de6a002c2f668ff8af31a0e00d |
File details
Details for the file adaptive_scheduler-2.0.1-py3-none-any.whl
.
File metadata
- Download URL: adaptive_scheduler-2.0.1-py3-none-any.whl
- Upload date:
- Size: 64.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a57bb18ed877bed38ce9d5c070b370655edc2306bc2c722c0e834c3769e4540d |
|
MD5 | 786e17dc6fd160b02486851909a1db47 |
|
BLAKE2b-256 | 192076824da28d0093f9650bbce7ba17d01a25c2c072aec8a1207384d3a0d39e |