HDA-MoE: Hybrid Parallelism and Dynamic, Adaptive Scheduling for Mixture-of-Experts with 3D Near-Memory Processing
HDA-MoE is presented, a framework that optimizes MoE execution on NMP architectures through hybrid parallel deployment and runtime scheduling and integrates an offline hybrid parallel mapping algorithm with an online dynamic and adaptive scheduling mechanism to reduce communication overhead while improving computation...