Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/cdluminate/tasque

Zero-Config Single-Node Workload Manager
https://github.com/cdluminate/tasque

atd condor job-control pbs priority pypi python python3 schedule torque

Last synced: about 2 months ago
JSON representation

Zero-Config Single-Node Workload Manager

Host: GitHub
URL: https://github.com/cdluminate/tasque
Owner: cdluminate
License: mit
Created: 2018-04-11T10:49:10.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2021-01-05T13:39:19.000Z (almost 4 years ago)
Last Synced: 2024-10-18T15:59:24.141Z (2 months ago)
Topics: atd, condor, job-control, pbs, priority, pypi, python, python3, schedule, torque
Language: Python
Homepage:
Size: 250 KB
Stars: 16
Watchers: 3
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

Tasque -- Zero-Config Single-Node Workload Manager (WORK IN PROGRESS)
===

[![Latest Version](https://pypip.in/version/tq1/badge.svg)](https://pypi.python.org/pypi/tq1/)

Tasque (Task Queue) is a simple workload manager for single-node usage that can
be used out-of-the-box. It is resource-aware (e.g. CPU, Memory, GPU, Video Memory),
and can automatically schedule the submitted jobs in a sensible way. It is much
more light-weight compared to cluster workload managers such as Slurm and PBS,
while being much smarter than a casually rushed script using tmux, screen, or
alike. Tasque is written by the author for scheduling batches of machine
learning experiments (e.g. caffe, pytorch, tensorflow).

Tasque has the following characteristics:
1. Submitted jobs (command lines) will be automatically scheduled to run when
there is enough resource to do so.
2. The daemon is resource-aware, namely it is able to plan the usage of either
CPU, Memory, GPU, or Video memory. When resource is aboundant, tasks may be
scheduled to run in parallel.
3. The default behavior is to execute the given commands in the FIFO order.
4. Tasks with high priority values will be scheduled to run prior to the rest.
5. The queue is stored in an SQLite3 database, and will not be lost in case of
powerloss.
6. Users can assign text annotations with the tasks in database.
7. Requires no configuration and can be used out-of-the-box.

## Example

## Installation

This tools is available on Pypi. Just issue the following command:
```
pip3 install tq1
```
Note that some new language features may be used in the code.
There is no plan to support older versions of python3.
Hence `python3 >= 3.8` is recommended.

In case you want to install it from source:
```
python3 setup.py install
```

## Usage

## Copyright and License