T. Steil

MailRail: Mitigating Incast Congestion with User-Space, Node-Based Flow Control

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 parallel environments. Existing fabric-level congestion control mechanisms rely on reactive, link-level rate limiting that degrades overall through...