2 papers
cs.LG2026
LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers
Enda Yu, Dezun Dong, Zhaoning Zhang +6
Mixture-of-Experts (MoE) models face memory and PCIe latency bottlenecks when deployed on commodity hardware. Offloading expert weights to CPU memory results in PCIe transfer laten…
cs.DC2026
Nezha: Breaking Multi-Rail Network Barriers for Distributed DNN Training
Enda Yu, Dezun Dong, Xiangke Liao
In distributed deep learning, communication remains a critical bottleneck. While modern hardware advances rapidly, over 60 percent of production HPC systems still rely on legacy in…