Showing cs.DCShow all
2 papers · 1 filter
cs.DC2026
Revisiting Bruck: Phase-Efficient All-to-All Collective Communication in Reconfigurable Networks
Anton Juerss, Stefan Schmid
All-to-All collective communication is a key performance bottleneck for distributed machine learning (ML) and high-performance computing (HPC) workloads, where dense traffic increa…
cs.DC2026
Trivance: Latency-Optimal AllReduce by Shortcutting Multiport Networks
Anton Juerss, Vamsi Addanki, Stefan Schmid
AllReduce is a fundamental collective communication operation in distributed computing and a key performance bottleneck for large-scale training and inference. Its completion time…