The distributed computing library on top of PyCOMPSs
Project description
Distributed computing library implemented over PyCOMPSs programming model for HPC.
Website • Documentation • Releases • Slack
Introduction
The Distributed Computing Library (dislib) provides distributed algorithms ready to use as a library. So far, dislib is highly focused on machine learning algorithms, and it is greatly inspired by scikit-learn. However, other types of numerical algorithms might be added in the future. The library has been implemented on top of PyCOMPSs programming model, and it is being developed by the Workflows and Distributed Computing group of the Barcelona Supercomputing Center. dislib allows easy local development through docker. Once the code is finished, it can be run directly on any distributed platform without any further changes. This includes clusters, supercomputers, clouds, and containerized platforms.
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
File details
Details for the file dislib-0.9.0.tar.gz.
File metadata
- Download URL: dislib-0.9.0.tar.gz
- Upload date:
- Size: 172.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9ed0c067f109548849e81c73f4bae5cc8793a5548089e1b8b09acd20538294f1 |
|
| MD5 | 68e664b88ffb8dba30f7a01112d6f8a9 |
|
| BLAKE2b-256 | 8245088e3b6b13f34797cb30330d0ef3840e7fc2d7145e1a2c1da2c0ffe4c176 |
