3 citations · 3 across the 4 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.DC2026
PowerScale: Energy-Efficient Geo-Distributed Model Training with Federated Datacenter Power
Talha Mehboob, Zhe Xu, Michael Zink +1
The power demands of large-scale AI training increasingly exceed the capacity of any single data center, making geo-distributed training across power-constrained sites a practical…
cs.DC2026
AI-Assisted Computational Reproducibility on the FABRIC Testbed
Komal Thareja, Paul Ruth, Berent Aldikacti +1
Computational reproducibility remains difficult despite being central to scientific research. In this paper, we show how the international FABRIC testbed, combined with a large lan…