FlowTracer: A Tool for Uncovering Network Path Usage Imbalance in AI Training Clusters
The increasing complexity of AI workloads, especially distributed Large Language Model
(LLM) training, places significant strain on the networking infrastructure of parallel data …
(LLM) training, places significant strain on the networking infrastructure of parallel data …
[PDF][PDF] PARALEON: Automatic and Adaptive Tuning for DCQCN Parameters in RDMA Networks
RDMA is a kernel-bypass and transport-offload technology that provides high throughput
and low delay for datacenter networks, and DCQCN is the default and most widely used …
and low delay for datacenter networks, and DCQCN is the default and most widely used …
[PDF][PDF] 2FA Sketch: Two-Factor Armor Sketch for Accurate and Efficient Heavy Hitter Detection in Data Streams
Detecting heavy hitters, which are flows exceeding a specified threshold, is crucial for
network measurement, but it faces challenges due to increasing throughput and memory …
network measurement, but it faces challenges due to increasing throughput and memory …