PreNeT: Leveraging Computational Features to Predict Deep Neural Network Training Time. Pourali, A., Boukani, A., & Khazaei, H. In Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering, pages 81–91, Toronto ON Canada, May, 2025. ACM. ![PreNeT: Leveraging Computational Features to Predict Deep Neural Network Training Time [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper Paper doi bibtex 6 downloads @inproceedings{pourali_prenet:_2025,
address = {Toronto ON Canada},
title = {{PreNeT}: {Leveraging} {Computational} {Features} to {Predict} {Deep} {Neural} {Network} {Training} {Time}},
copyright = {CC0 1.0 Universal Public Domain Dedication},
isbn = {979-8-4007-1073-5},
shorttitle = {{PreNeT}},
url = {https://dl.acm.org/doi/10.1145/3676151.3719373},
doi = {10.1145/3676151.3719373},
language = {en},
urldate = {2025-05-16},
booktitle = {Proceedings of the 16th {ACM}/{SPEC} {International} {Conference} on {Performance} {Engineering}},
publisher = {ACM},
author = {Pourali, Alireza and Boukani, Arian and Khazaei, Hamzeh},
month = may,
year = {2025},
pages = {81--91},
url_paper={https://api.zotero.org/users/6721365/publications/items/BEWJLICF/file/view}
}
Downloads: 6
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