Ran Shu

Programmable Scale-Up Switches for Software-Defined GPU Fabrics

PIN: Less Is More for RDMA Load Balancing

PIN is presented, a lightweight wrapper that layers on top of any existing fine-grained RDMA load balancer, showing analytically that practical thresholds preserve overall load-balance fairness while reducing short-flow exposure to temporarily slower paths.

Nüwa: A Generative Control Plane for AI Network Simulation

Nüwa is presented, which views routing as a compilation problem, it leverages the hierarchical and symmetric structure common in AI fabrics and compiles a declarative topology description together with routing policies into compact forwarding artifacts that are fast to generate and efficient to look up.

OptiFlow: Towards LLM-Driven Optimization of Collective Communication Algorithms

OptiFlow is presented, among the first LLM-driven frameworks for automated design of high-performance collective communication algorithms, with key insight is a two-layer decomposition: the LLM generates compact data-movement intent expressed in a domain-specific language, while deterministic scheduling algorithms comp...

STORM: Enabling Traffic Scheduling for RDMA

STORM is presented, a NIC-level scheduler for all types of RDMA workloads using NIC-only information: the known RDMA request size, and per-queue-pair backlog, and converts these signals into a small number of extra priority levels on the wire and prioritizes requests that are either near completion or blocking queued d...