When RDMA Goes Long-Haul: Characterization, Modeling, and Verbs-Level Emulation with Implications for Federated Learning
Type
Publication
In Proceedings of the 35th International Symposium on High-Performance Parallel and Distributed Computing
This work characterizes long-haul RDMA behavior, develops modeling and verbs-level emulation support, and studies the implications for geo-distributed federated learning systems.
