{"id":21297963,"url":"https://github.com/amamory/power-optim","last_synced_at":"2025-09-09T23:32:42.546Z","repository":{"id":168583316,"uuid":"466707433","full_name":"amamory/power-optim","owner":"amamory","description":"Minizinc model of a power-aware task placement onto a heterogenous platform (big-little, gpu, fpga)","archived":false,"fork":false,"pushed_at":"2022-04-29T14:16:34.000Z","size":457,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-22T07:33:22.830Z","etag":null,"topics":["constraint-programming","heterogeneous-computing","minizinc","scheduling-algorithms"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/amamory.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-03-06T10:44:47.000Z","updated_at":"2022-03-07T17:23:12.000Z","dependencies_parsed_at":null,"dependency_job_id":"31ccc1d3-488a-4b25-8fe1-3da691d2bd70","html_url":"https://github.com/amamory/power-optim","commit_stats":null,"previous_names":["amamory/power-optim"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amamory%2Fpower-optim","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amamory%2Fpower-optim/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amamory%2Fpower-optim/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amamory%2Fpower-optim/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/amamory","download_url":"https://codeload.github.com/amamory/power-optim/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243769946,"owners_count":20345215,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["constraint-programming","heterogeneous-computing","minizinc","scheduling-algorithms"],"created_at":"2024-11-21T14:42:53.864Z","updated_at":"2025-03-15T17:42:06.325Z","avatar_url":"https://github.com/amamory.png","language":"Python","readme":"# power-optim\nMinizinc models of a power-aware task placement onto a heterogenous platform (.e.g, big-little, gpu, fpga).\n\n## Setup \n\n```\n$ sudo snap install minizinc\n$ sudo apt-get install python3-venv\n$ git clone https://github.com/amamory/power-optim.git\n$ cd power-optim\n$ python3 -m venv env\n$ source env/bin/activate\n$ pip install --editable .\n$ pip install -r requirements.txt\n```\n\n## Models\n\nBrowse the directories to try each model. The suggested order in terms of complexity:\n - `makespan`: jobs without precedence constraint;\n - `makespan-dag`: similar to the previous one but jobs have precedence constraints represented by a DAG;\n - `deadline-dag`: almost equal to the previous one, but it includes an additional deadline constraint;\n - `deadline-power`: while the previous one minimizes the makespan, this one minizes the power as long as the deadline is respected;\n - `affinity`: this model is built on top of the previous one, but adding affinity constraint;\n - `pu-utilization`: this model is built on top of the previous one, but including *task period* and *processing unit utilization* constraint. **TODO**.\n\n## Authors\n\n - Alexandre Amory (January 2022), [Real-Time Systems Laboratory (ReTiS Lab)](https://retis.santannapisa.it/), [Scuola Superiore Sant'Anna (SSSA)](https://www.santannapisa.it/), Pisa, Italy.\n\n## Funding\n\nThis tool has been developed in the context of the [AMPERE project](https://ampere-euproject.eu). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871669.\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famamory%2Fpower-optim","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famamory%2Fpower-optim","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famamory%2Fpower-optim/lists"}