5 papers
Resilient AI Supercomputer Networking using MRC and SRv6
Joao Araujo, Alex Chow, Mark Handley +47
Tail latency dominates the performance of synchronous pretraining jobs when running at very large scales. We describe a three-pronged approach: (1) a new RDMA-based transport proto…
Spritz: Path-Aware Load Balancing in Low-Diameter Networks
Tommaso Bonato, Ales Kubicek, Abdul Kabbani +3
Low-diameter topologies such as Dragonfly and Slim Fly are increasingly adopted in HPC and datacenter networks, yet existing load balancing techniques either rely on proprietary in…
SMaRTT: Sender-based Marked Rapidly-adapting Trimmed & Timed Transport
Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini +10
With the rapid growth of artificial intelligence (AI) workloads in datacenters, the Ultra Ethernet Consortium (UEC) has defined a new high-performance transport layer to deliver th…
REPS: Recycled Entropy Packet Spraying for Adaptive Load Balancing and Failure Mitigation
Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini +7
Next-generation datacenters require highly efficient network load balancing to manage the growing scale of artificial intelligence (AI) training and general datacenter traffic. How…
Uno: A One-Stop Solution for Inter- and Intra-Datacenter Congestion Control and Reliable Connectivity
Tommaso Bonato, Sepehr Abdous, Abdul Kabbani +11
Cloud computing and AI workloads are driving unprecedented demand for efficient communication within and across datacenters. However, the coexistence of intra- and inter-datacenter…