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cs.DC2026
MailRail: Mitigating Incast Congestion with User-Space, Node-Based Flow Control
Noel Gomillion, Lance Fletcher, Trevor Steil +2
Irregular workloads, such as those stemming from Graph Neural Networks (GNNs) and Mixture-of-Experts (MoE) models, frequently induce severe incast congestion in large-scale paralle…
cs.DC2026
SOLANET: Distributed Neighbor Graph Construction on GPU-Accelerated Systems
Keita Iwabuchi, Trevor Steil, Benjamin W. Priest +3
Neighbor graphs capture relationships among data points and are widely used in data analytics and AI workloads. Many studies have explored approximate construction methods for sing…