3 papers
cs.NI2026
ML-for-ML
Yutong Zhao, Noga H. Rotman, Gianni Antichi +1
AI training workloads are growing rapidly, making their time, energy, and infrastructure costs increasingly important. In shared cloud clusters, training and fine-tuning jobs compe…
cs.NI2026
Avoiding Cross-Datacenter Collective Congestion via Disaggregated Buffering
Mariano Scazzariello, Noga H. Rotman, Dima Gavrilenko +6
LLM training at the scale of tens of thousands of GPUs now spans multiple datacenters (DC), making cross-DC collectives over long-haul links unavoidable. A critical and overlooked…
cs.NI2025
RFSeek and Ye Shall Find
Noga H. Rotman, Tiago Ferreira, Hila Peleg +2
Requests for Comments (RFCs) are extensive specification documents for network protocols, but their prose-based format and their considerable length often impede precise operationa…