050-boils-bayesian-optimisation-for-logic-synthesis
https://github.com/szu-advtech-2023/050-boils-bayesian-optimisation-for-logic-synthesis
Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (3.0%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
·
Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- License: mulanpsl-2.0
- Language: Python
- Default Branch: main
- Size: 1.11 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2023/050-BOiLS-Bayesian-Optimisation-for-Logic-Synthesis/blob/main/
# iMap Linux python3.7anaconda ```bash #iMap git clone https://gitee.com/oscc-project/iMAP.git #NSGA2Boils git clone https://gitee.com/wang-rui13132008217/nsga2.git #NSGA2iMAP/ai_infra mv nsga2/* iMap/ai_infra cd iMap #imap mkdir build && cd build cmake .. make -j 8 #imapai_infra cd .. cp bin/imap ai_infra ``` aig results_storage_root_path.txtai_infra utils/utils_save.py python3.7 ``` bash conda create -n yourEnv python=3.7 #python3.7 conda activate yourEnv # pip install -r requirements.txt # ``` ## NSGA2 GA ```bash python main_nsga2.py --designs_group_id arbiter --n_gen 100 --pop_size 20 --seq_length 10 --seed 0 ``` ## Boils Boils ```bash python main_boils.py --designs_group_id arbiter --seq_length 10 --device -1 --seed 0 ```
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@inproceedings{REPO050,
author = "Grosnit, Antoine and Malherbe, Cedric and Tutunov, Rasul and Wan, Xingchen and Wang, Jun and Ammar, Haitham Bou",
booktitle = "2022 Design, Automation \& Test in Europe Conference \& Exhibition (DATE)",
pages = "1193-1196",
title = "{BOiLS: Bayesian Optimisation for Logic Synthesis}",
year = "2022"
}