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cs.LG2024
AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster
Siyuan Li, Youshao Xiao, Fanzhuang Meng +4
Offline batch inference is a common task in the industry for deep learning applications, but it can be challenging to ensure stability and performance when dealing with large amoun…
cs.LG2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs
Zhongshu Zhu, Bin Jing, Xiaopei Wan +3
As a powerful tool for modeling graph data, Graph Neural Networks (GNNs) have received increasing attention in both academia and industry. Nevertheless, it is notoriously difficult…