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cs.LG2024
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
Jiawei Zhou, Woojeong Kim, Zhiying Xu +2
Understanding the traffic dynamics in networks is a core capability for automated systems to monitor and analyze networking behaviors, reducing expensive human efforts and economic…
cs.LG2022
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization
Zhiying Xu, Hongding Peng, Wei Wang
Traditional deep learning compilers rely on heuristics for subgraph generation, which impose extra constraints on graph optimization, e.g., each subgraph can only contain at most o…
cs.LG2022
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
Zhiying Xu, Jiafan Xu, Hongding Peng +8
Deep learning models rely on highly optimized tensor libraries for efficient inference on heterogeneous hardware. Current deep compilers typically predetermine layouts of tensors a…