2 papers
cs.LG2025
eMoE: Task-aware Memory Efficient Mixture-of-Experts-Based (MoE) Model Inference
Suraiya Tairin, Shohaib Mahmud, Haiying Shen +1
In recent years, Mixture-of-Experts (MoE) has emerged as an effective approach for enhancing the capacity of deep neural network (DNN) with sub-linear computational costs. However,…
cs.DC2025
OMEGA: A Low-Latency GNN Serving System for Large Graphs
Geon-Woo Kim, Donghyun Kim, Jeongyoon Moon +5
Graph Neural Networks (GNNs) have been widely adopted for their ability to compute expressive node representations in graph datasets. However, serving GNNs on large graphs is chall…