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cs.DC2026
Democratizing LLM Training with the Edge: Challenges, Systems, and the Road Ahead
Ziyue Luo, Jiaxuan Cai, Cedric LeDenmat +27
The growing computational power of modern GPU data centers has let a few industrial giants train and deploy large language models (LLMs) on massive amounts of data. Yet the sheer s…
cs.AR2026
BEACON: A Versatile Accelerator for Computational Pathology Applications
Sumanth Gudaparthi, Ananth Krishna Prasad, Lin Jia +2
While accelerators for AI have seen great commercial success, it is challenging to replicate that success for other specialized domains due to a number of factors. We make the case…