Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Firoz, Jesun, Pellegrini, Franco, Geiger, Mario, Hsu, Darren, Bilbrey, Jenna A., Chou, Han-Yi, Stadler, Maximilian, Hoehnerbach, Markus, Wang, Tingyu, Lin, Dejun, Kucukbenli, Emine, Sprueill, Henry W., Batatia, Ilyes, Xantheas, Sotiris S., Lee, MalSoon, Mundy, Chris, Csanyi, Gabor, Smith, Justin S., Sadayappan, Ponnuswamy, Choudhury, Sutanay
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2504.10700