15 citations · 16 across the 7 of their papers we have counts for
3 papers · 1 filter
SHORTCUT: In-Collective Topology Reconfiguration for Low-Latency AllReduce
Sarah-Michelle Hammer, Stefan Schmid, Anton Juerss +2
Distributed ML training relies on efficient AllReduce communication to aggregate data across nodes. In this setting, reconfigurable optical interconnects offer high-bandwidth, ener…
Credence: Augmenting Datacenter Switch Buffer Sharing with ML Predictions
Vamsi Addanki, Maciej Pacut, Stefan Schmid
Packet buffers in datacenter switches are shared across all the switch ports in order to improve the overall throughput. The trend of shrinking buffer sizes in datacenter switches…
PowerTCP: Pushing the Performance Limits of Datacenter Networks
Vamsi Addanki, Oliver Michel, Stefan Schmid
Increasingly stringent throughput and latency requirements in datacenter networks demand fast and accurate congestion control. We observe that the reaction time and accuracy of exi…