3 papers
cs.DC2026
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing
Xinming Wei, Chao Jin, Tuo Dai +10
Large-scale expert parallelism (EP) is becoming pivotal for training and serving frontier MoE models, but it also amplifies device-level expert load imbalance into compute straggle…
math.OC2024
Floorplanning with I/O assignment via feasibility-seeking and superiorization methods
Shan Yu, Yair Censor, Guojie Luo
The feasibility-seeking approach offers a systematic framework for managing and resolving intricate constraints in continuous problems, making it a promising avenue to explore in t…
math.OC2023
Per-RMAP: Feasibility-Seeking and Superiorization Methods for Floorplanning with I/O Assignment
Shan Yu, Yair Censor, Ming Jiang +1
The feasibility-seeking approach provides a systematic scheme to manage and solve complex constraints for continuous problems, and we explore it for the floorplanning problems with…