3 papers
cs.NI2026
MoX: Efficient MoE Routing on Direct-Connect Topologies
Ori Cohen, Jakob Krebs, Daniel Amir +1
Optically switched networks suit the regular communication of dense ML models, but MoE introduces sparse, runtime-dependent traffic. We show that efficient offline-optimized routin…
cs.NI2026
SprayCheck: Finding Gray Failures in Adaptive Routing Networks
Jakob Krebs, Daniel Amir, Shir Landau Feibish +1
Distributed machine learning (ML) training has become a dominant workload in modern data center networks, operating at massive scale with clusters comprising tens to hundreds of th…
cs.DS2023
Breaking the VLB Barrier for Oblivious Reconfigurable Networks
Tegan Wilson, Daniel Amir, Nitika Saran +3
In a landmark 1981 paper, Valiant and Brebner gave birth to the study of oblivious routing and, simultaneously, introduced its most powerful and ubiquitous method: Valiant load bal…