Baechi: Fast Device Placement of Machine Learning Graphs

20 January 2023

Papers citing "Baechi: Fast Device Placement of Machine Learning Graphs"

6 / 6 papers shown

Title
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications Jessica Smith David Williams Emily Brown 71 0 0 16 Sep 2024
MOPAR: A Model Partitioning Framework for Deep Learning Inference Services on Serverless Platforms Jiaang Duan Shiyou Qian Dingyu Yang Hanwen Hu Jian Cao Guangtao Xue MoE 63 2 0 03 Apr 2024
Moirai: Towards Optimal Placement for Distributed Inference on Heterogeneous Devices Beibei Zhang Hongwei Zhu Feng Gao Zhihui Yang Xiaoyang Sean Wang 108 1 0 07 Dec 2023
Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment Shiwei Zhang Xiaodong Yi Lansong Diao Chuan Wu Siyu Wang W. Lin GNN 39 5 0 13 Feb 2023
Celeritas: Fast Optimizer for Large Dataflow Graphs Hengwei Xu Yong Liao Haiyong Xie Pengyuan Zhou GNN 27 1 0 30 Jul 2022
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models Yunzhuo Liu Bo Jiang Tian Guo Zimeng Huang Wen-ping Ma Xinbing Wang Chenghu Zhou 73 9 0 28 Apr 2022