ppft 1.7.6.8+dfsg-1 source package in Ubuntu
Changelog
ppft (1.7.6.8+dfsg-1) unstable; urgency=medium * Team upload. * New upstream release. * debian/watch: Fix GitHub monitoring script. * debian/control: Bump version requirement of python3-dill. -- Boyuan Yang <email address hidden> Tue, 30 Jan 2024 19:14:25 -0500
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc | |
Noble | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
ppft_1.7.6.8+dfsg-1.dsc | 3.0 KiB | dd28b8805d54ef5b6b9419ef067f757eb2c5e3968895f26b3f70d6cb246963c4 |
ppft_1.7.6.8+dfsg.orig.tar.xz | 108.6 KiB | e8020d1738b1e140e0244265752c7f2d62fa996e5f8db7d053229edcaa0c181a |
ppft_1.7.6.8+dfsg-1.debian.tar.xz | 4.1 KiB | c91e91af25e7f897bf0307585631b39ca9e16416e94356d293e87fd0cbd2d83a |
Available diffs
No changes file available.
Binary packages built by this source
- python-ppft-doc: Distributed and parallel Python (documentation)
ppft is a friendly fork of Parallel Python. It provides:
.
* parallel execution of Python code on SMP and clusters
* easy-to-understand job-based parallelization
* automatic detection of the number of effective processors
* dynamic processor allocation (at runtime)
* low overhead for jobs with the same function (through transparent caching)
* dynamic load balancing (jobs are distributed at runtime)
* fault-tolerance (if a node fails, tasks are rescheduled on the others)
* auto-discovery of computational resources
* dynamic allocation of computational resources
* SHA based authentication for network connections
* enhanced serialization, using dill.source
.
ppft is part of pathos, a Python framework for heterogeneous computing.
.
This package contains the ppft documentation in HTML format.
- python3-ppft: Distributed and parallel Python
ppft is a friendly fork of Parallel Python. It provides:
.
* parallel execution of Python code on SMP and clusters
* easy-to-understand job-based parallelization
* automatic detection of the number of effective processors
* dynamic processor allocation (at runtime)
* low overhead for jobs with the same function (through transparent caching)
* dynamic load balancing (jobs are distributed at runtime)
* fault-tolerance (if a node fails, tasks are rescheduled on the others)
* auto-discovery of computational resources
* dynamic allocation of computational resources
* SHA based authentication for network connections
* enhanced serialization, using dill.source
.
ppft is part of pathos, a Python framework for heterogeneous computing.