SPDL: Scalable and Performant Data Loading.
Project description
SPDL /spiːdl/
SPDL (Scalable and Performant Data Loading) is a library and project to explore the design and performance of data loading with thread-based parallelism.
Documentation
Please checkout the documentation.
License
SPDL is BSD 2-Clause licensed, as found in the LICENSE file.
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
spdl_core-0.0.9-py3-none-any.whl
(52.7 kB
view details)
File details
Details for the file spdl_core-0.0.9-py3-none-any.whl.
File metadata
- Download URL: spdl_core-0.0.9-py3-none-any.whl
- Upload date:
- Size: 52.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f35185e358d6d2e331a1691a5d1036893869cb90458206d4ffe1ae3a48148b1f
|
|
| MD5 |
73e57881bfd11065aaebb15c7da0f909
|
|
| BLAKE2b-256 |
f1f185f289f84eb06e7d80d21deb6f2a49a2e5f4311eaee9968754fabb847e26
|