Saar Eliad, Ido Hakimi, Alon De Jagger, Mark Silberstein, Assaf Schuster. Fine-tuning giant neural networks on commodity hardware with automatic pipeline model parallelism. In Irina Calciu, Geoff Kuenning, editors, 2021 USENIX Annual Technical Conference, USENIX ATC 2021, July 14-16, 2021. pages 381-396, USENIX Association, 2021. [doi]
@inproceedings{EliadHJSS21,
title = {Fine-tuning giant neural networks on commodity hardware with automatic pipeline model parallelism},
author = {Saar Eliad and Ido Hakimi and Alon De Jagger and Mark Silberstein and Assaf Schuster},
year = {2021},
url = {https://www.usenix.org/conference/atc21/presentation/eliad},
researchr = {https://researchr.org/publication/EliadHJSS21},
cites = {0},
citedby = {0},
pages = {381-396},
booktitle = {2021 USENIX Annual Technical Conference, USENIX ATC 2021, July 14-16, 2021},
editor = {Irina Calciu and Geoff Kuenning},
publisher = {USENIX Association},
}